US20100286806A1 - Device and methods for audio data analysis in an audio player - Google Patents

Device and methods for audio data analysis in an audio player Download PDF

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Publication number
US20100286806A1
US20100286806A1 US12/840,226 US84022610A US2010286806A1 US 20100286806 A1 US20100286806 A1 US 20100286806A1 US 84022610 A US84022610 A US 84022610A US 2010286806 A1 US2010286806 A1 US 2010286806A1
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Prior art keywords
sound
audio
providing
analysis
sound field
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US12/840,226
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Ted Booth
Jason Clement
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Sony Corp
Sony Electronics Inc
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Sony Corp
Sony Electronics Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R5/00Stereophonic arrangements
    • H04R5/04Circuit arrangements, e.g. for selective connection of amplifier inputs/outputs to loudspeakers, for loudspeaker detection, or for adaptation of settings to personal preferences or hearing impairments
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/56Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • H04H60/58Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 of audio
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/68Systems specially adapted for using specific information, e.g. geographical or meteorological information
    • H04H60/73Systems specially adapted for using specific information, e.g. geographical or meteorological information using meta-information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S7/00Indicating arrangements; Control arrangements, e.g. balance control
    • H04S7/30Control circuits for electronic adaptation of the sound field

Definitions

  • the present invention relates to audio players. More specifically, the present invention relates to an audio player adapted to analyze audio data and adjust output according to the analysis.
  • the present invention generally relates to an audio player adapted to analyze audio data and adjust output according to the analysis.
  • One embodiment can be characterized as a method of data analysis for an audio player comprising analyzing at least a portion of audio data; selecting a sound profile based upon the analysis of the audio data; adjusting a sound field setting according to the sound profile; and outputting at least a portion of the audio data according to the sound field setting.
  • the step of analyzing at least a portion of audio data further comprises analyzing metadata.
  • the step of analyzing at least a portion of audio data further comprises analyzing sound content.
  • Another embodiment can be characterized as a method of data analysis for an audio player comprising recording user interaction with an audio player, the interaction corresponding to at least a portion of audio data; selecting a sound profile based upon the user interaction; adjusting a sound field setting according to the sound profile; and outputting at least a portion of the audio data according to the sound field setting.
  • the user interaction comprises listening to an audio track, adjusting the sound field setting or programming the sound profile by answering prompted questions.
  • a subsequent embodiment includes an audio player device comprising an audio analysis circuit adapted to determine a characteristic of audio data; a profile selection circuit adapted to select a sound profile corresponding to the characteristic of audio data; and a sound field circuit adapted to adjust sound field setting according to the sound profile.
  • FIG. 1 is a block diagram illustrating an audio player, in accordance with an embodiment of the present invention.
  • FIG. 2 is a flow diagram illustrating a method of analyzing audio data, in accordance with an embodiment of the present invention.
  • FIG. 3 is a flow diagram illustrating in more detail the analysis of audio data, in accordance with the embodiment of the present invention as shown in the flow diagram of FIG. 2 .
  • the audio player 100 includes a processor 102 with memory 104 , an input interface 106 , a decoder 108 , a display 110 and an audio output 112 .
  • the processor 102 includes an audio analysis circuit 114 , a sound field circuit 116 and a profile selection circuit 118 .
  • the audio player 100 can be one of many manufactured and sold audio players widely available, including for example, an MP3 player, a CD player, a DVD audio player, a computer, or other type of audio player.
  • the audio player 100 is an electronic device that is capable, through a combination of hardware, firmware and/or software, of receiving, analyzing and outputting audio data.
  • the processor 102 has memory 104 and is operably coupled to the input interface 106 , the decoder 108 and the display 110 .
  • the audio player 100 stores audio files in the memory 104 in the form of audio data.
  • the processor 102 controls reading the audio data into or out of the memory 104 .
  • the decoder 108 decodes the audio data and outputs the decoded audio data to the audio output 112 .
  • the audio output 112 outputs the audio data as an audible signal that is heard by the user of the audio player 100 .
  • the audio output 112 is, for example, a speaker or an audio jack for use with a headphone set.
  • the memory 104 includes memory for storage of audio files.
  • the memory 104 is, for example, a built-in hard disk drive, non-volatile “flash” memory, removable memory, such as a compact disk (CD), digital versatile disk (DVD), or any combination thereof. All or a portion of the memory may be in the form of one or more removable blocks, modules, or chips.
  • the memory 104 need not be one physical memory device, but can include one or more separate memory devices.
  • the input interface 106 includes, for example, a keypad, a touchpad, a touch screen, a mouse, or other types of devices used to interact with an electronic device.
  • the user may interact with the input interface 106 of the audio player 100 to adjust the sound field in a variety of ways.
  • a sound field is defined by the physical characteristics of sound waves in a region of space.
  • the sound field relating to an audio player is the sound that is emitted from an audio player.
  • the sound field may be adjusted when a user interacts with the input interface 106 of the audio player 100 to adjust settings of the audio player 100 , for example, equalizer settings, mode settings (for example, concert hall mode or surround sound mode), bass, treble, or other settings that affect the sound field.
  • settings of the audio player 100 for example, equalizer settings, mode settings (for example, concert hall mode or surround sound mode), bass, treble, or other settings that affect the sound field.
  • a particular arrangement of the various settings (equalizer and mode, for example), in aggregate, will result in a complete sound field setup.
  • sound field setting(s) will be used to describe a particular arrangement of one or more of the settings of the audio player 100 that affect the sound field.
  • the input interface 106 is adapted to record user interactions to be stored in the memory 104 .
  • User interactions include, by way of example only, playing an audio track at a particular sound field setting, adjusting the sound field setting while listening to a track, programming sound field settings to correspond with a particular track or genre of track, or responding to prompted questions regarding sound field settings in relation to a particular track or genre of track.
  • the display 110 visually presents images corresponding to, for example, metadata, sound field settings, or other information pertinent to a user's interaction with and/or use of the audio player 100 .
  • the metadata includes, for example, the name of the song, the artist, the album title, the genre and the time period from when the song was created.
  • the display 110 may present questions for the user to respond to regarding sound field settings in relation to a particular track or genre of track.
  • the processor 102 includes the audio analysis circuit 114 , the sound field circuit 116 and the profile selection circuit 118 .
  • the audio analysis circuit 114 , the sound field circuit 116 and the profile selection circuit 118 represent functional circuitry within the audio player 100 .
  • the audio analysis circuit 114 , the sound field circuit 116 and the profile selection circuit 118 are implemented, in some embodiments, as software stored in the memory 104 and executed by the processor 102 .
  • circuit(s) can refer to dedicated fixed-purpose circuits and/or partially or wholly programmable platforms of various types and that these teachings are compatible with any such mode of deployment for the audio analysis circuit 114 , the sound field circuit 116 and the profile selection circuit 118 .
  • the audio analysis circuit 114 , sound field circuit 116 and profile selection circuit 118 are any type of executable instructions that can be implemented as, for example, hardware, firmware and/or software, or any combination thereof, which are all within the scope of the various teachings described.
  • the audio analysis circuit 114 determines a characteristic of audio data.
  • the audio analysis circuit can determine one or more characteristics of the audio data in a varying number of ways.
  • the audio data includes both sound data (also referred to herein as sound content) and metadata.
  • the sound data is, for example, a song, a voice recording, or other similar type of recording.
  • the metadata is data that is associated with the sound data and can be used to provide information about the sound data. For example, a song may have metadata such as artist, album, title, length, and genre, to name a few possibilities.
  • the audio analysis circuit can analyze the metadata to determine a characteristic of the audio data.
  • the audio analysis circuit analyzes the sound data portion of the audio data in order to determine a characteristic of the audio data.
  • the sound data is made up of wave forms that can be analyzed by the processor.
  • the wave form is stored, for example, as a wave file in memory.
  • the wave file is analyzed, for example, using twelve tone analysis (from the low tones to the high tones).
  • the twelve tone analysis provides information about the key of the music, the chord progression, beat, structure and rhythm of the music. This information can be used to infer the characteristics of the sound data.
  • tempo e.g., beats per minute
  • speed depends on tempo and rhythm
  • dispersion variation in tempo
  • major or minor type of chord
  • notes per unit of time e.g., rhythm ratio
  • the profile selection circuit 118 selects the sound profile corresponding to the characteristic of audio data.
  • the audio data includes both sound data and metadata.
  • the metadata includes, for example, genre data such as jazz, classical, rock, hip-hop, and metal.
  • the profile selection circuit 118 may select a sound profile that best fits the genre that was determined by the audio analysis circuit by analyzing the metadata of the audio data.
  • the profile selection circuit 118 may select a sound profile that best fits the characteristic of audio data that was determined by the audio analysis circuit by analyzing the sound data of the audio data.
  • the profile selection circuit 118 may select a sound profile based on prior user interaction with the audio player 100 .
  • the sound profile is used by the sound field circuit 116 to adjust sound field settings.
  • the sound profile selection circuit 118 is able to select a sound profile that will lead to automatic adjustments of the sound field settings such that the sound data (e.g., a song) is played back with, for example, equalizer settings, mode settings (for example, concert hall mode or surround sound mode), bass and treble that best match the song.
  • the profile selection circuit 118 may be enabled to select sound field settings based upon factory set default settings, user defined preferences, preferences of a user that have been determined from previous user interactions with the audio player 100 , or user interactions corresponding to a series of prompted questions the user responds to regarding sound field settings.
  • the sound field circuit 116 adjusts sound field settings according to the sound profile.
  • the sound profile is, for example, a file that is a collaboration of values for the sound field settings. That is, the sound profile is used by the sound field circuit 116 in order to properly set values of the different sound field settings.
  • sound profiles can exist that are for a particular genre of music, for a particular person, and even for a particular audio track.
  • FIG. 2 shown is a flow diagram illustrating a method of analyzing audio data on an audio player, in accordance with an embodiment of the present invention.
  • the following steps can be implemented, for example, within circuitry of the audio player 200 .
  • the audio player e.g., a portable audio player, a car stereo or a home stereo
  • the audio player retrieves the audio data.
  • the audio data can be retrieved from, for example, a local music library 204 , a music service 206 , a local memory device of the audio player (e.g., a hard drive), or a portable memory device (e.g., a compact disk or DVD audio disk).
  • the audio data can be retrieved when a users selects a song to play from the audio player or the audio player can retrieve the song prior to when the song is going to be played by the audio player.
  • the audio player 200 determines if a smart sound program is enabled. If the smart sound program is disabled, the audio player plays back the audio data in step 216 and sound is output through an audio output (e.g., a speaker). If the smart sound program is enabled, the audio data that was retrieved by the audio player 200 is analyzed by the audio player in step 212 .
  • FIG. 3 discussed below, provides a detailed description of how the audio data is analyzed by the audio player.
  • a sound profile is selected as part of the analysis of the audio data file in step 212 .
  • the audio player 200 adjusts sound field settings of the audio player 200 in accordance with the information contained in the sound profile that was selected in step 212 .
  • the audio data is output from the audio player with the adjusted sound field settings. As described above, by adjusting one or more of the various sound field settings, an improved listening experience can be obtained by the user 202 of the audio player 200 .
  • step 212 a flow diagram is shown illustrating in more detail the analysis of audio data (step 212 ), in accordance with the embodiment of the present invention as shown in the flow diagram of FIG. 2 .
  • the process begins in step 300 when the audio player determines if the audio data that was retrieved will be analyzed by looking at the metadata of the audio data. If not, the process continues at step 310 . If it has been determined that the audio data should be analyzed by looking at the metadata, then the audio player, in step 302 , determines whether the metadata is currently available. If the metadata is available, the process continues at step 308 . If the metadata is not available, the audio player attempts to retrieve the metadata at step 304 .
  • the metadata can be retrieved from, for example, a remote database, a web service or a local database.
  • a sound profile is selected by the audio player based upon analysis of the metadata (e.g., determining a genre of the audio data). The selection can be based upon default settings, user defined preferences, or preferences of a user that have been determined from previous user interaction with the audio player.
  • the audio player determines if the audio data should be analyzed by determining a characteristic of the sound data. If not, the process continues at step 316 . If the audio player is going to analyze the audio data, the sound content (e.g., the wave forms or wave file of the audio content) is analyzed by the audio player in step 312 . As described above, the sound data is made up of wave forms that can be analyzed by the processor of the audio player using twelve tone analysis (from the low tones to the high tones).
  • the sound content e.g., the wave forms or wave file of the audio content
  • the twelve tone analysis provides information about the key of the music, the chord progression, beat, structure and rhythm of the music which can be used to determine the characteristics of the sound data such as tempo (e.g., beats per minute), speed (depends on tempo and rhythm), dispersion (variance in tempo), major or minor, type of chord, notes per unit of time, and rhythm ratio.
  • tempo e.g., beats per minute
  • speed depends on tempo and rhythm
  • dispersion variable in tempo
  • major or minor type of chord
  • notes per unit of time and rhythm ratio
  • the twelve tone analysis provides information about the key of the music, the chord progression, beat, structure and rhythm of the music which can be used to determine the characteristics of the sound data such as tempo (e.g., beats per minute), speed (depends on tempo and rhythm), dispersion (variance in tempo), major or minor, type of chord, notes per unit of time, and rhythm ratio.
  • the characteristics can then be used to select a sound profile in step 314 .
  • the audio player determines if the audio data has been previously played by the audio player and if the audio player is going to select a sound profile based upon user interactions. If not, the process continues at step 322 . If the audio data has been previously played by the audio player and if the audio player is to select a sound profile based upon user interactions, then the audio player recalls previous user interactions at step 318 during the playback of the audio file.
  • the previous user interactions may be, for example, previously listening to audio data at particular sound field settings or adjusting the sound field settings during a previous playback of the audio data.
  • user interaction can be a response to one or a series of prompted questions displayed to the user 202 which the user responds to by interacting with the audio player 200 .
  • the audio player selects a sound profile based upon the user interactions with the audio player 200 .
  • the audio player selects the best matched sound profile with which to play back the audio data.
  • the audio player will select from between zero and three sound profiles. Having zero sound profiles to select from corresponds to no adjustments being made to the sound field settings. Having one sound profile to select from corresponds to adjusting the sound field settings according to the one sound profile. Having two sound profiles corresponds to the audio player selecting a sound profile from two of the three candidate profiles resulting from steps 308 , 314 , and 320 .
  • the audio player will select one sound profile and adjust the sound field accordingly.
  • the audio player may select the one sound profile based upon factory settings or upon user interaction.
  • the factory settings may establish a hierarchy of sound profile candidates such that a candidate profile based upon past user interaction with the player (step 320 ) trumps a candidate profile based upon metadata (step 308 ) which trumps a candidate profile based upon sound content (step 314 ).

Abstract

A method of data analysis for an audio player, which involves analyzing at least a portion of audio data; selecting a sound profile based upon the analysis of the audio data; adjusting sound field settings according to the sound profile; and outputting at least a portion of the audio data according to the sound field settings, and an audio player device involving an audio analysis circuit adapted to determine a characteristic of audio data; a profile selection circuit adapted to select a sound profile corresponding to the characteristic of audio data; and a sound field circuit adapted to adjust sound field settings according to the sound profile.

Description

    CROSS-REFERENCE TO RELATED APPLICATION(S)
  • This document is a continuation application that is related to, and claims priority from, U.S. patent application Ser. No. 11/229,298, entitled “METHOD AND APPARATUS FOR AUDIO DATA ANALYSIS IN AN AUDIO PLAYER,” and filed on Sep. 16, 2005, which is commonly owned, and which is hereby incorporated by this reference in its entirety.
  • BACKGROUND OF THE INVENTION
  • 1. Field of the Invention
  • The present invention relates to audio players. More specifically, the present invention relates to an audio player adapted to analyze audio data and adjust output according to the analysis.
  • 2. Discussion of the Related Art
  • Most music players provide the capability to manually adjust the sound settings (for example, equalizer settings) that affect music playback. Many users will almost never change the sound settings because of a lack of convenience in the manner in which to adjust the sound settings. Additionally, once set, the listener rarely will re-program the sound settings as long as a similar type of music is being played back. Music players are, however, increasingly supporting the random playback of music, through functionality including, for example, song or track shuffle playback, play lists, music streaming and user-defined radio stations. This provides for much more frequent playback of dissimilar types of music during the time when a user is listening to music. This requires the user to re-program the sound settings more frequently in order to properly fit the type of music being played. For many listeners, frequently adjusting the sound settings can become annoying and degrades the overall music listening experience. Other listeners will simply stop adjusting the sound settings which also degrades the overall music listening experience.
  • SUMMARY OF THE INVENTION
  • The present invention generally relates to an audio player adapted to analyze audio data and adjust output according to the analysis.
  • One embodiment can be characterized as a method of data analysis for an audio player comprising analyzing at least a portion of audio data; selecting a sound profile based upon the analysis of the audio data; adjusting a sound field setting according to the sound profile; and outputting at least a portion of the audio data according to the sound field setting. In a further embodiment, the step of analyzing at least a portion of audio data further comprises analyzing metadata. In yet another embodiment, the step of analyzing at least a portion of audio data further comprises analyzing sound content.
  • Another embodiment can be characterized as a method of data analysis for an audio player comprising recording user interaction with an audio player, the interaction corresponding to at least a portion of audio data; selecting a sound profile based upon the user interaction; adjusting a sound field setting according to the sound profile; and outputting at least a portion of the audio data according to the sound field setting. In some embodiments, the user interaction comprises listening to an audio track, adjusting the sound field setting or programming the sound profile by answering prompted questions.
  • A subsequent embodiment includes an audio player device comprising an audio analysis circuit adapted to determine a characteristic of audio data; a profile selection circuit adapted to select a sound profile corresponding to the characteristic of audio data; and a sound field circuit adapted to adjust sound field setting according to the sound profile.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The above and other aspects, features and advantages of the present invention will be more apparent from the following more particular description thereof, presented in conjunction with the following drawings.
  • FIG. 1 is a block diagram illustrating an audio player, in accordance with an embodiment of the present invention.
  • FIG. 2 is a flow diagram illustrating a method of analyzing audio data, in accordance with an embodiment of the present invention.
  • FIG. 3 is a flow diagram illustrating in more detail the analysis of audio data, in accordance with the embodiment of the present invention as shown in the flow diagram of FIG. 2.
  • Corresponding reference characters indicate corresponding components throughout the several views of the drawings. Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions, sizing, and/or relative placement of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of various embodiments of the present invention. Also, common but well-understood elements that are useful or necessary in a commercially feasible embodiment are often not depicted in order to facilitate a less obstructed view of these various embodiments of the present invention. It will also be understood that the terms and expressions used herein have the ordinary meaning as is usually accorded to such terms and expressions by those skilled in the corresponding respective areas of inquiry and study except where other specific meanings have otherwise been set forth herein.
  • DETAILED DESCRIPTION
  • The following description is not to be taken in a limiting sense, but is made merely for the purpose of describing the general principles of the invention. The scope of the invention should be determined with reference to the claims. The present embodiments address the problems described in the background while also addressing other additional problems as will be seen from the following detailed description.
  • Referring initially to FIG. 1, shown is a block diagram illustrating an audio player 100, in accordance with an embodiment of the present invention. The audio player 100 includes a processor 102 with memory 104, an input interface 106, a decoder 108, a display 110 and an audio output 112. The processor 102 includes an audio analysis circuit 114, a sound field circuit 116 and a profile selection circuit 118.
  • Still referring to FIG. 1, the audio player 100 can be one of many manufactured and sold audio players widely available, including for example, an MP3 player, a CD player, a DVD audio player, a computer, or other type of audio player. As will be described herein, the audio player 100 is an electronic device that is capable, through a combination of hardware, firmware and/or software, of receiving, analyzing and outputting audio data.
  • Still referring to FIG. 1, the processor 102 has memory 104 and is operably coupled to the input interface 106, the decoder 108 and the display 110. The audio player 100 stores audio files in the memory 104 in the form of audio data. The processor 102 controls reading the audio data into or out of the memory 104. The decoder 108 decodes the audio data and outputs the decoded audio data to the audio output 112. The audio output 112 outputs the audio data as an audible signal that is heard by the user of the audio player 100. The audio output 112 is, for example, a speaker or an audio jack for use with a headphone set.
  • Still referring to FIG. 1, the memory 104 includes memory for storage of audio files. The memory 104 is, for example, a built-in hard disk drive, non-volatile “flash” memory, removable memory, such as a compact disk (CD), digital versatile disk (DVD), or any combination thereof. All or a portion of the memory may be in the form of one or more removable blocks, modules, or chips. The memory 104 need not be one physical memory device, but can include one or more separate memory devices.
  • Still referring to FIG. 1, the input interface 106 includes, for example, a keypad, a touchpad, a touch screen, a mouse, or other types of devices used to interact with an electronic device. During playback, the user may interact with the input interface 106 of the audio player 100 to adjust the sound field in a variety of ways. A sound field is defined by the physical characteristics of sound waves in a region of space. In the present application the sound field relating to an audio player is the sound that is emitted from an audio player. The sound field may be adjusted when a user interacts with the input interface 106 of the audio player 100 to adjust settings of the audio player 100, for example, equalizer settings, mode settings (for example, concert hall mode or surround sound mode), bass, treble, or other settings that affect the sound field. A particular arrangement of the various settings (equalizer and mode, for example), in aggregate, will result in a complete sound field setup. Throughout this application, therefore, sound field setting(s) will be used to describe a particular arrangement of one or more of the settings of the audio player 100 that affect the sound field. In some embodiments, the input interface 106 is adapted to record user interactions to be stored in the memory 104. User interactions include, by way of example only, playing an audio track at a particular sound field setting, adjusting the sound field setting while listening to a track, programming sound field settings to correspond with a particular track or genre of track, or responding to prompted questions regarding sound field settings in relation to a particular track or genre of track.
  • Still referring to FIG. 1, the display 110 visually presents images corresponding to, for example, metadata, sound field settings, or other information pertinent to a user's interaction with and/or use of the audio player 100. The metadata includes, for example, the name of the song, the artist, the album title, the genre and the time period from when the song was created. In some embodiments, the display 110 may present questions for the user to respond to regarding sound field settings in relation to a particular track or genre of track.
  • Still referring to FIG. 1, the processor 102 includes the audio analysis circuit 114, the sound field circuit 116 and the profile selection circuit 118. The audio analysis circuit 114, the sound field circuit 116 and the profile selection circuit 118 represent functional circuitry within the audio player 100. The audio analysis circuit 114, the sound field circuit 116 and the profile selection circuit 118 are implemented, in some embodiments, as software stored in the memory 104 and executed by the processor 102. As described herein, those skilled in the art will appreciate that circuit(s) can refer to dedicated fixed-purpose circuits and/or partially or wholly programmable platforms of various types and that these teachings are compatible with any such mode of deployment for the audio analysis circuit 114, the sound field circuit 116 and the profile selection circuit 118. The audio analysis circuit 114, sound field circuit 116 and profile selection circuit 118 are any type of executable instructions that can be implemented as, for example, hardware, firmware and/or software, or any combination thereof, which are all within the scope of the various teachings described.
  • Still referring to FIG. 1, the audio analysis circuit 114 determines a characteristic of audio data. The audio analysis circuit can determine one or more characteristics of the audio data in a varying number of ways. In one embodiment, the audio data includes both sound data (also referred to herein as sound content) and metadata. The sound data is, for example, a song, a voice recording, or other similar type of recording. The metadata is data that is associated with the sound data and can be used to provide information about the sound data. For example, a song may have metadata such as artist, album, title, length, and genre, to name a few possibilities. The audio analysis circuit can analyze the metadata to determine a characteristic of the audio data. In another embodiment, the audio analysis circuit analyzes the sound data portion of the audio data in order to determine a characteristic of the audio data. The sound data is made up of wave forms that can be analyzed by the processor. The wave form is stored, for example, as a wave file in memory. The wave file is analyzed, for example, using twelve tone analysis (from the low tones to the high tones). The twelve tone analysis provides information about the key of the music, the chord progression, beat, structure and rhythm of the music. This information can be used to infer the characteristics of the sound data. Some of the features or characteristics of the sound data that can be extracted are tempo (e.g., beats per minute), speed (depends on tempo and rhythm), dispersion (variance in tempo), major or minor, type of chord, notes per unit of time, and rhythm ratio. By extracting different characteristics of the music, the characteristics can then be used by the profile selection circuit 118.
  • Still referring to FIG. 1, the profile selection circuit 118 selects the sound profile corresponding to the characteristic of audio data. As described above, in one embodiment, the audio data includes both sound data and metadata. The metadata includes, for example, genre data such as jazz, classical, rock, hip-hop, and metal. In some embodiments, the profile selection circuit 118 may select a sound profile that best fits the genre that was determined by the audio analysis circuit by analyzing the metadata of the audio data. In some embodiments, the profile selection circuit 118 may select a sound profile that best fits the characteristic of audio data that was determined by the audio analysis circuit by analyzing the sound data of the audio data. In some embodiments, the profile selection circuit 118 may select a sound profile based on prior user interaction with the audio player 100. As will be described below, the sound profile is used by the sound field circuit 116 to adjust sound field settings. In this manner, the sound profile selection circuit 118 is able to select a sound profile that will lead to automatic adjustments of the sound field settings such that the sound data (e.g., a song) is played back with, for example, equalizer settings, mode settings (for example, concert hall mode or surround sound mode), bass and treble that best match the song. The profile selection circuit 118 may be enabled to select sound field settings based upon factory set default settings, user defined preferences, preferences of a user that have been determined from previous user interactions with the audio player 100, or user interactions corresponding to a series of prompted questions the user responds to regarding sound field settings.
  • Still referring to FIG. 1, the sound field circuit 116 adjusts sound field settings according to the sound profile. The sound profile is, for example, a file that is a collaboration of values for the sound field settings. That is, the sound profile is used by the sound field circuit 116 in order to properly set values of the different sound field settings. For example, sound profiles can exist that are for a particular genre of music, for a particular person, and even for a particular audio track.
  • Referring next to FIG. 2, shown is a flow diagram illustrating a method of analyzing audio data on an audio player, in accordance with an embodiment of the present invention. The following steps can be implemented, for example, within circuitry of the audio player 200. As shown, when a user 202 decides to play an audio file using the audio player (e.g., a portable audio player, a car stereo or a home stereo), in step 208, the audio player retrieves the audio data. The audio data can be retrieved from, for example, a local music library 204, a music service 206, a local memory device of the audio player (e.g., a hard drive), or a portable memory device (e.g., a compact disk or DVD audio disk). Additionally, the audio data can be retrieved when a users selects a song to play from the audio player or the audio player can retrieve the song prior to when the song is going to be played by the audio player. In step 210, the audio player 200 determines if a smart sound program is enabled. If the smart sound program is disabled, the audio player plays back the audio data in step 216 and sound is output through an audio output (e.g., a speaker). If the smart sound program is enabled, the audio data that was retrieved by the audio player 200 is analyzed by the audio player in step 212. FIG. 3, discussed below, provides a detailed description of how the audio data is analyzed by the audio player. As will be discussed below, a sound profile is selected as part of the analysis of the audio data file in step 212. Next, in step 214, the audio player 200 adjusts sound field settings of the audio player 200 in accordance with the information contained in the sound profile that was selected in step 212. Following, in step 216, the audio data is output from the audio player with the adjusted sound field settings. As described above, by adjusting one or more of the various sound field settings, an improved listening experience can be obtained by the user 202 of the audio player 200.
  • Referring finally to FIG. 3, a flow diagram is shown illustrating in more detail the analysis of audio data (step 212), in accordance with the embodiment of the present invention as shown in the flow diagram of FIG. 2. The process begins in step 300 when the audio player determines if the audio data that was retrieved will be analyzed by looking at the metadata of the audio data. If not, the process continues at step 310. If it has been determined that the audio data should be analyzed by looking at the metadata, then the audio player, in step 302, determines whether the metadata is currently available. If the metadata is available, the process continues at step 308. If the metadata is not available, the audio player attempts to retrieve the metadata at step 304. The metadata can be retrieved from, for example, a remote database, a web service or a local database. Next in step 308, a sound profile is selected by the audio player based upon analysis of the metadata (e.g., determining a genre of the audio data). The selection can be based upon default settings, user defined preferences, or preferences of a user that have been determined from previous user interaction with the audio player.
  • Still referring to FIG. 3, next in step 310, the audio player determines if the audio data should be analyzed by determining a characteristic of the sound data. If not, the process continues at step 316. If the audio player is going to analyze the audio data, the sound content (e.g., the wave forms or wave file of the audio content) is analyzed by the audio player in step 312. As described above, the sound data is made up of wave forms that can be analyzed by the processor of the audio player using twelve tone analysis (from the low tones to the high tones). The twelve tone analysis provides information about the key of the music, the chord progression, beat, structure and rhythm of the music which can be used to determine the characteristics of the sound data such as tempo (e.g., beats per minute), speed (depends on tempo and rhythm), dispersion (variance in tempo), major or minor, type of chord, notes per unit of time, and rhythm ratio. By extracting different characteristics of the music, the characteristics can then be used to select a sound profile in step 314. The selection can be based upon, for example, default settings, user defined preferences, or preferences of a user that have been determined from previous user interaction with the audio player.
  • Still referring to FIG. 3, next in step 316, the audio player determines if the audio data has been previously played by the audio player and if the audio player is going to select a sound profile based upon user interactions. If not, the process continues at step 322. If the audio data has been previously played by the audio player and if the audio player is to select a sound profile based upon user interactions, then the audio player recalls previous user interactions at step 318 during the playback of the audio file. The previous user interactions may be, for example, previously listening to audio data at particular sound field settings or adjusting the sound field settings during a previous playback of the audio data. In some embodiments, user interaction can be a response to one or a series of prompted questions displayed to the user 202 which the user responds to by interacting with the audio player 200. Next, in step 320, the audio player selects a sound profile based upon the user interactions with the audio player 200.
  • Still referring to FIG. 3, finally in step 322, the audio player selects the best matched sound profile with which to play back the audio data. Depending upon the settings for the audio player and the flow followed in FIG. 3, the audio player will select from between zero and three sound profiles. Having zero sound profiles to select from corresponds to no adjustments being made to the sound field settings. Having one sound profile to select from corresponds to adjusting the sound field settings according to the one sound profile. Having two sound profiles corresponds to the audio player selecting a sound profile from two of the three candidate profiles resulting from steps 308, 314, and 320. Having three sound profiles corresponds to the audio player selecting a sound profile from each of the three candidate profiles resulting from steps 308, 314, and 320. When there is a plurality of sound profiles, the audio player will select one sound profile and adjust the sound field accordingly. The audio player may select the one sound profile based upon factory settings or upon user interaction. For example, the factory settings may establish a hierarchy of sound profile candidates such that a candidate profile based upon past user interaction with the player (step 320) trumps a candidate profile based upon metadata (step 308) which trumps a candidate profile based upon sound content (step 314).
  • While the invention herein disclosed has been described by means of specific embodiments and applications thereof, other modifications, variations, and arrangements of the present invention may be made in accordance with the above teachings other than as specifically described to practice the invention within the spirit and scope defined by the following claims.

Claims (32)

1. A method of data analysis by way of an audio player device, comprising:
providing the audio player device, the audio player device providing step comprising:
providing an input interface;
providing a display operatively coupled with the input interface;
providing a decoder operatively coupled with the input interface and the display;
providing an audio output operatively coupled with the decoder;
providing a memory;
providing a smart sound program;
providing an audio analysis circuit operatively coupled with the memory and adapted to determine at least one characterizable element relating to at least one of at least one portion of audio data stored in the memory, the audio analysis circuit being adapted to analyze the at least one portion of audio data using a twelve-tone analysis by way of the smart sound program, the twelve-tone analysis providing information comprising at least one feature selected from a group consisting essentially of a key, a chord, a chord progression, a beat, a structure, and a rhythm, and the information providing extractable data comprising a tempo and a dispersion;
providing a profile selection circuit operatively coupled with the memory and adapted to select a sound profile corresponding to the at least one characterizable element of the at least one portion of audio data stored in the memory and based on a previous user interaction, the profile selection circuit using the extractable data; and
providing a sound field circuit operatively coupled with the memory and adapted to automatically adjust a sound field setting according to the sound profile, whereby an adjusted sound field setting is provided; and
analyzing at least one portion of audio data using the twelve-tone analysis by the audio analysis circuit.
2. The method of claim 1, further comprising:
selecting the sound profile based upon the analysis of the audio data by the profile selection circuit;
providing the sound field setting by the sound field circuit;
automatically adjusting the sound field setting according to the sound profile by the sound field circuit, thereby providing the adjusted sound field setting; and
outputting at least a portion of the audio data according to the adjusted sound field setting by the audio output,
wherein the step of providing the audio analysis circuit comprises providing information, comprising at least one feature selected from a group consisting essentially of a key, a chord, a chord progression, a beat, a structure, and a rhythm, and the information providing extractable data comprising a tempo and a dispersion, from the twelve-tone analysis, and
wherein the step of providing the audio analysis circuit comprises further providing the extractable data with a feature selected from a group consisting essentially of a speed, a key type, a chord type, a number of notes per unit time, and a rhythm ratio.
3. The method of claim 1, wherein the step of analyzing at least a portion of audio data further comprises analyzing sound content.
4. The method of claim 2, wherein the step of selecting the sound profile based upon the analysis of the audio data further comprises at least one step selected from a group consisting essentially of:
selecting from factory set sound profiles;
selecting from user created sound profiles;
selecting the sound profile based on an analysis of metadata;
selecting the sound profile based on an analysis of sound content;
selecting a candidate profile based on the analysis of metadata;
selecting the candidate profile based on the analysis of sound content;
selecting the candidate profile based on a user interaction with the audio player device, the interaction corresponding to at least one portion of audio data; and
selecting a best match profile from the group consisting of the candidate profile based on the analysis of metadata, the candidate profile based on the analysis of sound content, and the candidate profile based on the user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data.
5. The method of claim 1,
wherein the sound field circuit providing step comprises providing the sound field setting as at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and
wherein the sound field circuit providing step comprises providing a sound field setup comprising an aggregate of the at least one sound field setting parameter.
6. The method of claim 1, wherein the steps of providing the audio analysis circuit, providing the sound field circuit, and providing the profile selection circuit each comprise providing at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions.
7. The method of claim 1,
wherein the audio analysis circuit providing step comprises using the twelve-tone analysis by processing the at least one portion of the audio data from a low tone to a high tone, and
wherein the step of analyzing at least a portion of audio data further comprises analyzing metadata, the metadata analyzing step comprising analyzing at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period.
8. The method of claim 2,
wherein the step of providing the audio analysis circuit comprises further providing the extractable data with a feature selected from a group consisting essentially of a speed, a key type, a chord type, a number of notes per unit time, and a rhythm ratio,
wherein the step of analyzing the at least one portion of audio data further comprises analyzing sound content,
wherein the step of selecting the sound profile based upon the analysis of the audio data further comprises at least one step selected from a group consisting essentially of:
selecting from a plurality of factory set sound profiles;
selecting from a plurality of user created sound profiles;
selecting the sound profile based on an analysis of metadata;
selecting the sound profile based on an analysis of sound content;
selecting a candidate profile based on the analysis of metadata;
selecting the a candidate profile based on the analysis of sound content;
selecting the candidate profile based on a user interaction with an audio player, the user interaction corresponding to at least one portion of audio data; and
selecting a best match profile from the group consisting of the candidate profile based on the analysis of metadata, the candidate profile based on the analysis of sound content, and the candidate profile based on the user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data,
wherein the sound field circuit providing step comprises providing the sound field setting as at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and
wherein the sound field circuit providing step comprises providing a sound field setup comprising an aggregate of the at least one sound field setting parameter,
wherein the steps of providing the audio analysis circuit, providing the sound field circuit, and providing the profile selection circuit each comprise providing at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions,
wherein the audio analysis circuit providing step comprises using the twelve-tone analysis by processing the at least one portion of the audio data from a low tone to a high tone, and
wherein the step of analyzing the at least one portion of audio data further comprises analyzing metadata, the metadata analyzing step comprising providing at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period.
9. A method of data analysis by way of an audio player device, comprising:
providing the audio player device, the audio player device providing step comprising:
providing an input interface;
providing a display operatively coupled with the input interface;
providing a decoder operatively coupled with the input interface and the display;
providing an audio output operatively coupled with the decoder;
providing a memory;
providing a smart sound program;
providing an audio analysis circuit operatively coupled with the memory and adapted to determine at least one characterizable element relating to at least one of at least one portion of audio data stored in the memory, the audio analysis circuit being adapted to analyze the at least one portion of audio data using a twelve-tone analysis by way of the smart sound program, the twelve-tone analysis providing information comprising at least one feature selected from a group consisting essentially of a key, a chord, a chord progression, a beat, a structure, and a rhythm, and the information providing extractable data comprising a tempo and a dispersion;
providing a profile selection circuit operatively coupled with the memory and adapted to select a sound profile corresponding to the at least one characterizable element of the at least one portion of audio data stored in the memory and based on previous user interaction, the profile selection circuit using the extractable data; and
providing a sound field circuit operatively coupled with the memory and adapted to automatically adjust a sound field setting according to the sound profile, whereby an adjusted sound field setting is provided,
recording a user interaction with the audio player device, the interaction corresponding to at least one portion of audio data; and
analyzing the at least one portion of audio data by the audio analysis circuit using the twelve-tone analysis.
10. The method of claim 9, further comprising:
selecting the sound profile, based upon the user interaction and the information, by the sound profile circuit;
providing the sound field setting by the sound field circuit;
automatically adjusting the sound field setting according to the sound profile by the sound field circuit, thereby providing the adjusted sound field setting; and
outputting the at least one portion of audio data according to the adjusted sound field setting by the audio output,
wherein the user interaction comprises at least one step selected from a group consisting essentially of playing an audio track at a particular sound field setting and programming the sound profile.
11. The method of claim 10, wherein the step of programming the sound profile comprises responding to prompted questions from the audio player device by interfacing with the audio player device.
12. The method of claim 10, wherein the step of selecting the sound profile based upon the user interaction further comprises at least one step selected from a group consisting essentially of selecting from factory set sound profiles and selecting from user created sound profiles.
13. The method of claim 10, wherein the step of providing the sound field setting comprises providing at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and wherein a sound field setup comprises an aggregate of the at least one sound field setting parameter.
14. The method of claim 9, wherein the step of providing audio analysis circuit, the step of providing the sound field circuit, and the step of providing the profile selection circuit each comprise providing at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions.
15. The method of claim 9,
wherein the step of using the twelve-tone analysis comprises processing the at least one portion of the audio data from a low tone to a high tone, and
wherein the step of analyzing the at least one portion of audio data further comprises analyzing metadata, the metadata comprising at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period.
16. The method of claim 9,
wherein the user interaction comprises at least one step selected from a group consisting essentially of playing an audio track at a particular sound field setting and programming the sound profile,
wherein the step of programming the sound profile comprises responding to prompted questions from the audio player device by interfacing with the audio player device,
wherein the step of selecting the sound profile based upon the user interaction further comprises at least one step selected from a group consisting essentially of selecting from factory set sound profiles and selecting from user created sound profiles,
wherein the step of providing the sound field setting comprises providing at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and wherein a sound field setup comprises an aggregate of the at least one sound field setting parameter,
wherein the step of providing audio analysis circuit, the step of providing the sound field circuit, and the step of providing the profile selection circuit each comprise providing at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions,
wherein the step of using the twelve-tone analysis comprises processing the at least one portion of the audio data from a low tone to a high tone, and
wherein the step of analyzing at least a portion of audio data further comprises analyzing metadata, the metadata comprising at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period.
17. An audio player device, comprising:
an input interface;
a display operatively coupled with the input interface;
a decoder operatively coupled with the input interface and the display;
an audio output operatively coupled with the decoder;
a memory;
a smart sound program;
an audio analysis circuit operatively coupled with the memory and adapted to determine at least one characterizable element relating to at least one of at least one portion of audio data stored in the memory, the audio analysis circuit being adapted to analyze the at least one portion of audio data using a twelve-tone analysis by way of the smart sound program, the twelve-tone analysis providing information comprising at least one feature selected from a group consisting essentially of a key, a chord, a chord progression, a beat, a structure, and a rhythm, and the information providing extractable data comprising a tempo and a dispersion;
a profile selection circuit operatively coupled with the memory and adapted to select a sound profile corresponding to the at least one characterizable element of the at least one portion of audio data stored in the memory and being based on previous user interaction, the profile selection circuit using the extractable data; and
a sound field circuit operatively coupled with the memory and adapted to automatically adjust a sound field setting according to the sound profile, whereby an adjusted sound field setting is provided.
18. The device of claim 17, wherein the extractable data further comprises a feature selected from a group consisting essentially of a speed, a key type, a chord type, a number of notes per unit time, and a rhythm ratio.
19. The device of claim 17, wherein the audio analysis circuit is adapted to analyze sound content.
20. The device of claim 17, wherein the profile selection circuit is adapted to perform at least one function selected from a group consisting essentially of select sound profiles from factory set sound profiles and select sound profiles from user created sound profiles.
21. The device of claim 17, wherein the sound field setting comprises at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and wherein a sound field setup comprises an aggregate of the at least one sound field setting parameter.
22. The device of claim 17, wherein the audio analysis circuit, the sound field circuit, and the profile selection circuit each comprise at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions.
23. The device of claim 17, wherein the twelve-tone analysis comprises processing the at least one portion of audio data from a low tone to a high tone, wherein the step of analyzing the at least one portion of audio data further comprises analyzing metadata, the metadata comprising at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period.
24. The device of claim 17,
wherein the input interface is adapted to record a user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data, and
wherein the memory is adapted to store audio data corresponding to the user interaction with the audio player device.
25. The device of claim 17, wherein the profile selection circuit is adapted to select at least one element selected from a group consisting essentially of:
a candidate profile based on an analysis of metadata;
the candidate profile based on an analysis of sound content;
the a candidate profile based on a user interaction with the audio player device, the interaction corresponding to the at least a portion of audio data; and
a best match profile from the group consisting of the candidate profile based on the analysis of metadata, the candidate profile based on the analysis of sound content, and the candidate profile based on the user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data.
26. The device of claim 17,
wherein the input interface is adapted to record a user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data, and
wherein the memory is adapted to store the at least one portion of audio data corresponding to the user interaction with the audio player device,
wherein the extractable data further comprises a feature selected from a group consisting essentially of a speed, a key type, a chord type, a number of notes per unit time, and a rhythm ratio,
wherein the audio analysis circuit is adapted to analyze sound content,
wherein the profile selection circuit is adapted to perform at least one function selected from a group consisting essentially of select sound profiles from factory set sound profiles and select sound profiles from user created sound profiles,
wherein the sound field setting comprises at least one parameter selected from a group consisting essentially of an equalizer setting, a mode setting, a treble setting, a bass setting, the mode setting indicating a sound forum type, and
wherein a sound field setup comprises an aggregate of the at least one sound field setting parameter,
wherein the audio analysis circuit, the sound field circuit, and the profile selection circuit each comprise at least one element selected from a group consisting essentially of hardware, firmware, and software for implementing a set of executable instructions,
wherein the twelve-tone analysis comprises processing the at least one portion of the audio data from a low tone to a high tone, wherein the step of analyzing the at least one portion of audio data further comprises analyzing metadata, the metadata comprising at least one characteristic selected from a group consisting essentially of an artist name, an album, a title, a length, a genre, and a time period, and
wherein the profile selection circuit is adapted to select at least one element selected from a group consisting essentially of:
a candidate profile based on an analysis of metadata;
the candidate profile based on an analysis of sound content;
the candidate profile based on the user interaction with the audio player device, the user interaction corresponding to the at least one portion of audio data; and
a best match profile from the group consisting of the candidate profile based on the analysis of metadata, the candidate profile based on the analysis of sound content, and the candidate profile based on the user interaction with the audio player device, the interaction corresponding to the at least one portion of audio data.
27. The device of claim 17, further comprising an element selected from a group consisting essentially of an MP3 player, a CD player, a DVD audio player, a computer, and any other type of audio player.
28. The device of claim 17, wherein the audio output comprises an element selected from a group consisting essentially of a speaker and an audio jack for use with a headphone set.
29. The device of claim 17,
wherein the memory comprises at least one element selected from a group consisting essentially of a hard disk drive, a non-volatile flash memory, a removable memory, a CD, a DVD, and
wherein the memory comprises at least one portion having at least one form selected from a group consisting essentially of a removable block, a module, and a chip.
30. The device of claim 17, wherein the memory comprises at least one memory device.
31. The device of claim 17, wherein the input interface comprises an element selected from a group consisting essentially of a keypad, a touch pad, a touch screen, a mouse, and any other type of device that can interact with an electronic device.
32. The device of claim 17, wherein the audio analysis circuit, the sound field circuit, and the profile selection circuit each further comprise a configuration selected from a group consisting essentially of a fixed-purpose circuit, a partially programmable platform, and a wholly programmable platform.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120065750A1 (en) * 2010-09-10 2012-03-15 Douglas Tissier Embedding audio device settings within audio files
US20140369523A1 (en) * 2013-02-15 2014-12-18 Max Sound Corporation Process for improving audio (api)
US10437554B2 (en) * 2012-06-29 2019-10-08 Sonos, Inc. Smart audio settings
DE102019201615A1 (en) * 2019-02-07 2020-08-13 Volkswagen Aktiengesellschaft Method for adjusting the sound characteristics when playing back successive audio tracks
US11012780B2 (en) * 2019-05-14 2021-05-18 Bose Corporation Speaker system with customized audio experiences
US11289110B2 (en) * 2018-12-31 2022-03-29 AAC Technologies Pte. Ltd. Method and device for audio signal processing, and storage medium

Families Citing this family (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8180067B2 (en) * 2006-04-28 2012-05-15 Harman International Industries, Incorporated System for selectively extracting components of an audio input signal
US8036767B2 (en) 2006-09-20 2011-10-11 Harman International Industries, Incorporated System for extracting and changing the reverberant content of an audio input signal
KR100832360B1 (en) * 2006-09-25 2008-05-26 삼성전자주식회사 Method for controlling equalizer in digital media player and system thereof
US7968787B2 (en) * 2007-01-09 2011-06-28 Yamaha Corporation Electronic musical instrument and storage medium
US20080175411A1 (en) * 2007-01-19 2008-07-24 Greve Jens Player device with automatic settings
EP2115732B1 (en) 2007-02-01 2015-03-25 Museami, Inc. Music transcription
WO2008101130A2 (en) * 2007-02-14 2008-08-21 Museami, Inc. Music-based search engine
US7873040B2 (en) * 2007-08-20 2011-01-18 Stephen KARLSGODT Internet radio player
US8494257B2 (en) 2008-02-13 2013-07-23 Museami, Inc. Music score deconstruction
US7777122B2 (en) * 2008-06-16 2010-08-17 Tobias Hurwitz Musical note speedometer
US20100058048A1 (en) * 2008-08-26 2010-03-04 Advanced Micro Devices, Inc. Profile Adjustment Module For Use With Data Processing System
US7755526B2 (en) 2008-10-31 2010-07-13 At&T Intellectual Property I, L.P. System and method to modify a metadata parameter
US20100205222A1 (en) * 2009-02-10 2010-08-12 Tom Gajdos Music profiling
JP5400225B2 (en) * 2009-10-05 2014-01-29 ハーマン インターナショナル インダストリーズ インコーポレイテッド System for spatial extraction of audio signals
US8515092B2 (en) * 2009-12-18 2013-08-20 Mattel, Inc. Interactive toy for audio output
US8350867B2 (en) 2009-12-22 2013-01-08 Ati Technologies Ulc Image quality configuration apparatus, system and method
WO2011075883A1 (en) * 2009-12-22 2011-06-30 Nokia Corporation Output control using gesture input
US20120294457A1 (en) * 2011-05-17 2012-11-22 Fender Musical Instruments Corporation Audio System and Method of Using Adaptive Intelligence to Distinguish Information Content of Audio Signals and Control Signal Processing Function
US20130053012A1 (en) * 2011-08-23 2013-02-28 Chinmay S. Dhodapkar Methods and systems for determining a location based preference metric for a requested parameter
US9665339B2 (en) 2011-12-28 2017-05-30 Sonos, Inc. Methods and systems to select an audio track
KR101945816B1 (en) * 2012-06-08 2019-02-11 삼성전자주식회사 Device and method for adjusting volume in terminal
US8995687B2 (en) 2012-08-01 2015-03-31 Sonos, Inc. Volume interactions for connected playback devices
US11184448B2 (en) 2012-08-11 2021-11-23 Federico Fraccaroli Method, system and apparatus for interacting with a digital work
US10419556B2 (en) 2012-08-11 2019-09-17 Federico Fraccaroli Method, system and apparatus for interacting with a digital work that is performed in a predetermined location
US9473582B1 (en) * 2012-08-11 2016-10-18 Federico Fraccaroli Method, system, and apparatus for providing a mediated sensory experience to users positioned in a shared location
US9053710B1 (en) * 2012-09-10 2015-06-09 Amazon Technologies, Inc. Audio content presentation using a presentation profile in a content header
CN104078050A (en) * 2013-03-26 2014-10-01 杜比实验室特许公司 Device and method for audio classification and audio processing
US9226072B2 (en) 2014-02-21 2015-12-29 Sonos, Inc. Media content based on playback zone awareness
US9672213B2 (en) 2014-06-10 2017-06-06 Sonos, Inc. Providing media items from playback history
US10032443B2 (en) * 2014-07-10 2018-07-24 Rensselaer Polytechnic Institute Interactive, expressive music accompaniment system
US11132983B2 (en) 2014-08-20 2021-09-28 Steven Heckenlively Music yielder with conformance to requisites
DE102015005007B4 (en) * 2015-04-21 2017-12-14 Kronoton Gmbh Method for improving the sound quality of an audio file
KR20170030384A (en) * 2015-09-09 2017-03-17 삼성전자주식회사 Apparatus and Method for controlling sound, Apparatus and Method for learning genre recognition model
DE102015223935A1 (en) * 2015-12-01 2017-06-01 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. System for outputting audio signals and associated method and setting device
US10284998B2 (en) 2016-02-08 2019-05-07 K/S Himpp Hearing augmentation systems and methods
US10631108B2 (en) 2016-02-08 2020-04-21 K/S Himpp Hearing augmentation systems and methods
US10390155B2 (en) * 2016-02-08 2019-08-20 K/S Himpp Hearing augmentation systems and methods
US10341791B2 (en) 2016-02-08 2019-07-02 K/S Himpp Hearing augmentation systems and methods
US10750293B2 (en) 2016-02-08 2020-08-18 Hearing Instrument Manufacture Patent Partnership Hearing augmentation systems and methods
EP3506255A1 (en) * 2017-12-28 2019-07-03 Spotify AB Voice feedback for user interface of media playback device
US11636855B2 (en) 2019-11-11 2023-04-25 Sonos, Inc. Media content based on operational data
EP3889958A1 (en) * 2020-03-31 2021-10-06 Moodagent A/S Dynamic audio playback equalization using semantic features

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5450312A (en) * 1993-06-30 1995-09-12 Samsung Electronics Co., Ltd. Automatic timbre control method and apparatus
US5530924A (en) * 1994-07-05 1996-06-25 Ford Motor Company Radio station memory presets with stored audio effects
US5745583A (en) * 1994-04-04 1998-04-28 Honda Giken Kogyo Kabushiki Kaisha Audio playback system
US5864080A (en) * 1995-11-22 1999-01-26 Invision Interactive, Inc. Software sound synthesis system
US6341166B1 (en) * 1997-03-12 2002-01-22 Lsi Logic Corporation Automatic correction of power spectral balance in audio source material
US20020069050A1 (en) * 1998-09-01 2002-06-06 Tomoyuki Funaki Device and method for analyzing and representing sound signals in musical notation
US20030007001A1 (en) * 2001-06-07 2003-01-09 Philips Electronics North America Corporation Automatic setting of video and audio settings for media output devices
US20030028385A1 (en) * 2001-06-30 2003-02-06 Athena Christodoulou Audio reproduction and personal audio profile gathering apparatus and method
US20030086341A1 (en) * 2001-07-20 2003-05-08 Gracenote, Inc. Automatic identification of sound recordings
US20030187820A1 (en) * 2002-03-29 2003-10-02 Michael Kohut Media management system and process
US20040237750A1 (en) * 2001-09-11 2004-12-02 Smith Margaret Paige Method and apparatus for automatic equalization mode activation
US20060046685A1 (en) * 2004-08-31 2006-03-02 Hjelmeland Robert W System and process for automatically adjusting the acoustic settings to best fit an audio system
US7022905B1 (en) * 1999-10-18 2006-04-04 Microsoft Corporation Classification of information and use of classifications in searching and retrieval of information

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU7759100A (en) * 1999-08-12 2001-03-13 112GO, Inc. Interactive audio and data player for delivery of selected content to a mobile user and obtaining a response therefrom

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5450312A (en) * 1993-06-30 1995-09-12 Samsung Electronics Co., Ltd. Automatic timbre control method and apparatus
US5745583A (en) * 1994-04-04 1998-04-28 Honda Giken Kogyo Kabushiki Kaisha Audio playback system
US5530924A (en) * 1994-07-05 1996-06-25 Ford Motor Company Radio station memory presets with stored audio effects
US5864080A (en) * 1995-11-22 1999-01-26 Invision Interactive, Inc. Software sound synthesis system
US6341166B1 (en) * 1997-03-12 2002-01-22 Lsi Logic Corporation Automatic correction of power spectral balance in audio source material
US20020069050A1 (en) * 1998-09-01 2002-06-06 Tomoyuki Funaki Device and method for analyzing and representing sound signals in musical notation
US7022905B1 (en) * 1999-10-18 2006-04-04 Microsoft Corporation Classification of information and use of classifications in searching and retrieval of information
US20030007001A1 (en) * 2001-06-07 2003-01-09 Philips Electronics North America Corporation Automatic setting of video and audio settings for media output devices
US20030028385A1 (en) * 2001-06-30 2003-02-06 Athena Christodoulou Audio reproduction and personal audio profile gathering apparatus and method
US20030086341A1 (en) * 2001-07-20 2003-05-08 Gracenote, Inc. Automatic identification of sound recordings
US20040237750A1 (en) * 2001-09-11 2004-12-02 Smith Margaret Paige Method and apparatus for automatic equalization mode activation
US20030187820A1 (en) * 2002-03-29 2003-10-02 Michael Kohut Media management system and process
US20060046685A1 (en) * 2004-08-31 2006-03-02 Hjelmeland Robert W System and process for automatically adjusting the acoustic settings to best fit an audio system

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120065750A1 (en) * 2010-09-10 2012-03-15 Douglas Tissier Embedding audio device settings within audio files
US8793005B2 (en) * 2010-09-10 2014-07-29 Avid Technology, Inc. Embedding audio device settings within audio files
US10437554B2 (en) * 2012-06-29 2019-10-08 Sonos, Inc. Smart audio settings
US11074035B2 (en) * 2012-06-29 2021-07-27 Sonos, Inc. Smart audio settings
US11422771B2 (en) 2012-06-29 2022-08-23 Sonos, Inc. Smart audio settings
US11681495B2 (en) 2012-06-29 2023-06-20 Sonos, Inc. Smart audio settings
US20140369523A1 (en) * 2013-02-15 2014-12-18 Max Sound Corporation Process for improving audio (api)
US11289110B2 (en) * 2018-12-31 2022-03-29 AAC Technologies Pte. Ltd. Method and device for audio signal processing, and storage medium
DE102019201615A1 (en) * 2019-02-07 2020-08-13 Volkswagen Aktiengesellschaft Method for adjusting the sound characteristics when playing back successive audio tracks
US11012780B2 (en) * 2019-05-14 2021-05-18 Bose Corporation Speaker system with customized audio experiences

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US7774078B2 (en) 2010-08-10
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