WO2014067443A1 - 一种音频交互方法、装置和系统 - Google Patents
一种音频交互方法、装置和系统 Download PDFInfo
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- WO2014067443A1 WO2014067443A1 PCT/CN2013/086123 CN2013086123W WO2014067443A1 WO 2014067443 A1 WO2014067443 A1 WO 2014067443A1 CN 2013086123 W CN2013086123 W CN 2013086123W WO 2014067443 A1 WO2014067443 A1 WO 2014067443A1
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- decibel
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
- G06F3/165—Management of the audio stream, e.g. setting of volume, audio stream path
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
- G06F16/345—Summarisation for human users
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/0017—Lossless audio signal coding; Perfect reconstruction of coded audio signal by transmission of coding error
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- G—PHYSICS
- G11—INFORMATION STORAGE
- G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
- G11B27/00—Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
- G11B27/10—Indexing; Addressing; Timing or synchronising; Measuring tape travel
- G11B27/19—Indexing; Addressing; Timing or synchronising; Measuring tape travel by using information detectable on the record carrier
- G11B27/28—Indexing; Addressing; Timing or synchronising; Measuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording
- G11B27/30—Indexing; Addressing; Timing or synchronising; Measuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording on the same track as the main recording
- G11B27/3027—Indexing; Addressing; Timing or synchronising; Measuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording on the same track as the main recording used signal is digitally coded
Definitions
- Embodiments of the present invention relate to the field of information processing technologies, and, in particular, to an audio interaction method, apparatus, and system. Background of the invention
- a smart terminal which is a personal computer, has a separate operating system, and can be installed by a user to install a program provided by a third-party service provider such as software or games. Through such a program, the function of the mobile phone is continuously expanded, and A general term for such a type of mobile phone that can realize wireless network access through a mobile communication network.
- the existing interactive methods mainly include text chat and voting support.
- the back-end operator creates a voting or chat room, and binds to a sports game through a database (such as mysql); the user enters the game interface and passes text such as Hypertext Transfer Protocol (http). The way to submit text class information to the backend server to complete the interaction.
- a database such as mysql
- http Hypertext Transfer Protocol
- Embodiments of the present invention provide an audio interaction method, which implements targeted interaction through audio, thereby improving interaction effects and improving interaction efficiency.
- Embodiments of the present invention also provide an audio interaction device that implements targeted interaction through audio, thereby improving interaction effects and improving interaction efficiency.
- the embodiment of the invention also provides an audio interaction system, which realizes targeted interaction through audio, thereby improving the interaction effect and improving the interaction efficiency.
- An audio interaction method comprising:
- N is a positive integer of at least 2;
- the extracted decibel information of the user audio file is compared with the decibel information of other group users different from the group in which the user is located, and the comparison result is presented.
- An audio interaction device includes an attribute tag receiving unit, an audio recording unit, and a comparison unit, wherein:
- An attribute label receiving unit configured to determine a user attribute label, and divide the user into N groups based on the user attribute label, where N is a positive integer of at least 2;
- An audio recording unit configured to record a user audio file, and extract decibel information of the user audio file from the recorded user audio file;
- a comparing unit configured to compare the extracted decibel information of the user audio file with decibel information of other group users different from the group in which the user is located, and present the comparison result.
- An audio interaction system the system includes a client and a server, wherein: a client, configured to determine a user attribute label, record a user audio file, extract a decibel information of the user audio file from the recorded user audio file, and Deriving the user attribute tag and the extracted decibel information of the user audio file to the server; and presenting the comparison result sent by the server;
- a server configured to divide the user into N groups based on the user attribute label, where N is a positive integer of at least 2, and the decibel information of the user audio file sent by the client is different from other groups of the group in which the user is located.
- the user's decibel information is compared and the comparison result is sent to the client.
- the user attribute label is determined, and the user is divided into N groups based on the user attribute label, where N is a positive integer of at least 2; the user audio file is recorded, and Extracting decibel information of the user audio file from the recorded user audio file; comparing the extracted decibel information of the user audio file with decibel information of other group users different from the group in which the user is located, and presenting the comparison result .
- the ways and methods of interaction are expanded, and the confrontation interaction is closer to the virtual reality, thereby further improving Interaction efficiency.
- FIG. 1 is a flow chart of an audio interaction method according to an embodiment of the present invention.
- FIG. 2 is a schematic diagram of interaction of a supporter's pair of audio in a match according to an embodiment of the present invention
- FIG. 3 is a schematic diagram showing a decibel display of an audio interaction in a game according to an embodiment of the present invention
- FIG. 4 is a schematic structural diagram of an audio interaction device according to an embodiment of the present invention
- FIG. 5 is a schematic structural diagram of an audio interaction system according to an embodiment of the present invention
- 6 is a schematic structural diagram of still another audio interaction device according to an embodiment of the present invention
- FIG. 7 is a schematic structural diagram of still another audio interaction device according to an embodiment of the present invention. Mode for carrying out the invention
- a novel group-again interaction method is implemented based on audio interaction between users, and is particularly suitable for user audio interaction during watching a sports game.
- FIG. 1 is a flow chart of an audio interaction method in accordance with an embodiment of the present invention.
- the method includes the following steps:
- Step 101 Determine a user attribute label, and divide the user based on the user attribute label
- the user's selection can be first received on the client to determine the user attribute tag.
- Clients can include but are not limited to: feature phones, smartphones, PDAs, personal computers (PCs), tablets or personal digital assistants (PDAs), and so on.
- the operating system that can be adopted may specifically include, but is not limited to: Android, iOS, Symbian, Windows Phone, BlackBerry OS, Mac OS X, and the like.
- the user attribute tag is used to group the user against the resistance, and the user attribute tag is generally determined by the user.
- the user attribute tag may be specific to the user's fan attribute (ie, which team is specifically supported), the user's geographic attribute (such as the province in which the user is located), the user's age attribute (such as the user's age), and the like.
- the users can be grouped according to the type of the user attribute tag based on the difference of the user attribute tags of the respective users.
- H ⁇ has 6 users, namely User 1, User 2, User 3, User 4, User 5, and User 6, where User 1's attribute tag is Manchester United fans, User 2's attribute tag is Chelsea fans, User 3
- the Manchester United fans group and the Chelsea fans group for the Manchester United fan group and the Chelsea fans group.
- the Manchester United fan group includes users 1, users 3 and users 4; the Chelsea fan group includes users 2, users 5 and users 6.
- the number of groups can also be flexibly set based on the needs of the specific application scenario. For example, in the interactive process of watching a football match, since the confrontation team is two, the number of groups can be set to 2 at this time; when watching the "landlord” interaction, because the opponent is 3, Therefore, the number of groups can be set to 3 at this time; when watching the interaction of "four kings", since the opponent is 4, the number of groups can be set to 4, and so on.
- the specific grouping work can be performed either on the client or on the server.
- group work on the server the user information of each user is first The corresponding user attribute tag is sent to the server, and then the server groups each user according to the user attribute tag.
- a specific communication protocol may be agreed between the client and the server, and the format used by the data unit is defined in the communication protocol, and the information and meaning, the connection mode, the information transmission and the reception information information unit should contain. Timing, thus ensuring that data in the network is successfully transmitted to a certain place.
- a communication connection can be made between the client and the server through a plurality of wireless communication networks.
- the communication between the client and the server can be divided into simplex communication, half-duplex communication and full-duplex communication, and so on.
- the communication protocols that can be adopted by the embodiments of the present invention include, but are not limited to: Transmission Control Protocol/Internet Protocol (TCP/IP), Hypertext Transfer Protocol (HTTP), Single Mail Transfer Protocol (SMTP), Post Office Protocol 3 versions (POP3), and more.
- TCP/IP Transmission Control Protocol/Internet Protocol
- HTTP Hypertext Transfer Protocol
- SMTP Single Mail Transfer Protocol
- POP3 Post Office Protocol 3 versions
- the client can perform information interaction with the server through various communication standards.
- various communication standards such as Global System for Mobile Communications (GSM), Wideband Code Division Multiple Access (WCDMA), Code Division Multiple Access 2000 (CDMA-2000), and Time Division Synchronous Code Division Multiple Access (TD-SCDMA) can be used.
- GSM Global System for Mobile Communications
- WCDMA Wideband Code Division Multiple Access
- CDMA-2000 Code Division Multiple Access 2000
- TD-SCDMA Time Division Synchronous Code Division Multiple Access
- the format of information interaction between the client and the server can take many forms.
- the information format may include, but is not limited to, short message (SMS), email, instant messaging (IM) information, multimedia information (MMS) or voice information, and the like.
- SMS short message
- IM instant messaging
- MMS multimedia information
- voice information and the like.
- Step 102 Record a user audio file, and extract decibel information of the user audio file from the recorded user audio file.
- the user can watch the confrontational game on the client and emit audio (preferably commentary audio or fueling audio).
- the client records the user audio file and extracts the decibel information of the user audio file from the recorded user audio file.
- the time period can be set for the utterance time, such as 1 minute, without limiting the form and content of the user utterance.
- the client can record flat with an Apple Lossless Audio Compression (ALAC) encoder; the client can also record user audio text using a free audio compression (FLAC) encoder and can also record user audio using an adaptive prediction (APE) encoder.
- AAC Apple Lossless Audio Compression
- FLAC free audio compression
- APE adaptive prediction
- the maximum decibel or average decibel number over a predetermined time period can be extracted from the recorded user audio file.
- Step 103 Compare the extracted decibel information of the user audio file with the decibel information of other group users different from the group in which the user is located, and present a comparison result.
- the user can upload the audio file to the server through the http stream protocol interface.
- the data reporting interface is called, and the information of the user audio file and the personal information and the user attribute tag are submitted to the server, and the server performs a specific comparison work.
- the data that needs to be stored on the server side includes: the number of decibels of the home team fans and the decibels of the visiting fans, and it is preferable to count the number of decibels in different sections by using 10 decibels as an interval.
- the number of decibels of the nearly 10 games of a single user can also be counted.
- the storage mode of the server can be shared memory storage, and the data structure is preferably hashed.
- the number of decibels submitted by the user is added to the total decibel of the team based on the support team. At the same time, according to the decibel interval, the count is added to the user decibel of the interval. You can use the hash method to retrieve the user's decibel record storage location. If the storage session number is greater than 10 (the number can be adjusted accordingly), the game with the least time (lm) is eliminated, and the latest game decibel data is stored in the array. Tail end.
- the server When reading the user interaction result information (that is, the number of decibels reading the user beats the percentage of the counter team supporting the decibel), the server first reads the interval in which the user decibels are located through the cache, and then reads the counter-supported party according to the interval. The number of supporters in the team's range, and based on that number divided by the total number of decibels in the opposing team, calculates how much of the team's support is beaten by the decibel.
- the comparison work of the server specifically includes: determining that the extracted maximum decibel number within the predetermined time period belongs to Decibel value interval; determine the number of users whose maximum decibel number is lower than the decibel value interval among other group users different from the group in which the user is located; divide M1 by K as a comparison result, and present the comparison result, where K The total number of users that are different from the other groups in the group in which the user is located.
- the server delimits the user's maximum audio decibel to a decibel interval of 40-50.
- the server reads less than the cache from the maximum audio decibel of all supporters of the anti-team.
- the total number of opponents of the opposing team in the interval ie 40-50
- the total number of supporters of the opposing team for example 200.
- divide 200 by the total number of supporters of the opposing team assumed to be 400
- the comparison work of the server specifically includes: determining the extracted average decibel number within the predetermined time period. Decibel value interval; determine the number of users whose average decibel number is lower than the decibel value interval among other group users different from the group in which the user is located; divide M2 by K as a comparison result, and present the comparison result, where K The total number of users that are different from the other groups in the group in which the user is located.
- the server delimits the average audio decibel of the user to a decibel interval of 30-40.
- the server reads less than the average audio decibel of all supporters of the anti-team.
- the total number of opponents of the opposing team in the interval ie 30-40, for example, 100.
- divide 100 by the total number of anti-party supporters assumed to be 150
- the method further includes: the server verifying whether the client identity is legal, and sending the information subscription candidate list to the client only when the client identity is legal; wherein: the server verifies the client Whether the end identity is legal or not includes: verifying whether the fingerprint of the client user matches the authorized fingerprint, verifying whether the iris of the client user matches the authorized iris, verifying whether the international mobile equipment identification code (IEMI) of the client is legal, or the screen protection of the client. Set the password is correct.
- IEMI international mobile equipment identification code
- the user audio file can be played back at the client or server.
- the user audio file playback request may be received first; then the recorded user audio file is retrieved in response to the user audio file playback request, and the user audio file is played back.
- the decibel information of the user audio file can be obtained at the preset time.
- a maximum decibel number within the segment a decibel graph is drawn based on the decibel information of the user audio file, and the decibel graph and/or the maximum decibel number is presented.
- the embodiment of the present invention can display the sound decibel frequency wave line and the maximum decibel number, and can replay the user's audio file at any time.
- data such as decibel graph, recorded user audio file and/or maximum decibel number can be pushed to various social network service (SNS) platforms through a uniformly set push interface, and the decibel curve graph is presented by the SNS platform.
- SNS social network service
- the SNS platform includes but is not limited to: Weibo, blog or personal cyberspace, and so on.
- the embodiment of the present invention may adopt an AVAudioToolBox and an AVFoundation.framework architecture.
- the system encoder is called through the framework to call the audio file stored during the voice recording for playback. First, load the complete audio file into the system buffer, then call the encoder, set the buffer and audio format, and the audio quality that needs to be played, and then complete the playback process.
- FIG. 2 is a schematic diagram of the audio frequency interaction of the supporters in the game according to an embodiment of the present invention.
- the method includes:
- Step 201 The client determines the user attribute label and sends it to the server, and the server groups the user according to the support party of the confrontation game based on the user attribute label.
- the user attribute tag is used to perform confrontation grouping on the user, and the user attribute tag is generally determined by the user.
- Step 202 The user makes a sound, and the client records the audio file.
- Step 203 The client extracts the decibel information from the audio file, and displays the decibel information locally on the client, and sends the decibel information to the server.
- the decibel graph may be drawn based on the decibel information of the user audio file, and the decibel graph and/or the maximum decibel number are presented.
- Step 204 The server compares the decibel information of the user with the decibel information of the group user of the other supporting party, and sends the comparison result to the client.
- Step 205 Display the comparison result on the client.
- FIG. 3 is a schematic diagram showing an audio interactive decibel display in a game according to an embodiment of the present invention.
- the user can know the decibel information of the audio on the interface, and select the user attribute label by triggering the "Manlian” button or the "Chelsea” button.
- an embodiment of the present invention also provides an audio interaction device.
- 4 is a schematic structural diagram of an audio interaction device according to an embodiment of the present invention. As shown in FIG. 4, the apparatus includes: an attribute label receiving unit 401, an audio recording unit 402, and a comparison unit 403. among them:
- the attribute label receiving unit 401 is configured to determine a user attribute label, and divide the user into N groups based on the user attribute label, where N is a positive integer of at least 2;
- the audio recording unit 402 is configured to record a user audio file, and extract decibel information of the user audio file from the recorded user audio file;
- the comparing unit 403 is configured to compare the extracted decibel information of the user audio file with decibel information of other group users different from the group in which the user is located, and present the comparison result.
- the apparatus further includes a presentation unit 404.
- the audio recording unit 402 is configured to record a user audio file of a preset time period
- the presenting unit 404 is configured to obtain a maximum decibel number within the preset time period based on the decibel information of the user audio file.
- a decibel graph is drawn based on the decibel information of the user audio file, and the decibel graph and/or the maximum decibel number is presented.
- the presenting unit 404 is further configured to receive a user audio file playback request; extract the recorded user audio file in response to the user audio file playback request, and play back the user audio file.
- the audio recording unit 402 is configured to record user audio by using an ALAC encoder, the audio compression (FLAC) encoder records a user audio file, and reads an average level and a peak level of each channel through a timing callback function; or An adaptive prediction (APE) encoder value level is employed.
- ALAC the audio compression
- APE adaptive prediction
- the audio recording unit 402 is configured to extract a maximum number of decibels in a predetermined time period from the recorded user audio file;
- the comparing unit 404 is configured to determine a decibel value interval to which the extracted maximum decibel number in a predetermined time period belongs; and determine, among other group users of the group in which the user is located, a user whose maximum decibel number is lower than the decibel value interval
- the number M1; M1 is divided by K as a comparison result, and the comparison result is presented, where K is the total number of users different from other groups of the group in which the user is located.
- the audio recording unit 402 is configured to extract, from the recorded user audio file, an average decibel number within a predetermined time period;
- the comparing unit 404 is configured to determine a decibel value interval to which the extracted average decibel number in a predetermined time period belongs, and determine a user that is different from the decibel value interval among other group users different from the group in which the user is located.
- the number M2 divides M2 by K as a comparison result, and presents the comparison result, where K is the total number of users different from the other groups of the group in which the user is located.
- the device further includes a pushing unit 405;
- the pushing unit 405 is configured to push the decibel graph, the recorded user audio file, and/or the maximum decibel number to a social network service (SNS) platform, where the SNS platform includes at least one of the following: a microblog, a blog Or personal cyberspace.
- SNS social network service
- an embodiment of the present invention also provides an audio interaction system.
- a client-server architecture is employed.
- FIG. 5 is a schematic structural diagram of an audio interaction system according to an embodiment of the present invention. As shown in FIG. 5, the system includes a client 501 and a server 502.
- the client 501 can include, but is not limited to, a feature phone, a smart phone, a palmtop computer, a personal computer (PC), a tablet or a personal digital assistant (PDA), and the like.
- the operating system that can be adopted may specifically include, but is not limited to: Android, iOS, Symbian, Windows Phone, BlackBerry OS, Mac OS X, and the like.
- the connection between the client 501 and the server 502 can be various, and the connection can be made wirelessly or by wire.
- a specific communication protocol may be agreed between the client 501 and the server 502.
- the format used by the data unit is defined in the communication protocol, and the information and meaning, the connection manner, the information transmission and the information unit should contain. The timing of the reception, thus ensuring that the data in the network is successfully transmitted to a certain place.
- the client 501 and the server 502 can communicate with each other through a plurality of wireless communication networks.
- the communication mode between the client and the server can be divided into simplex communication, half-duplex communication and full-duplex communication, and so on.
- the communication protocols that can be adopted by the embodiments of the present invention include, but are not limited to: Transmission Control Protocol/Internet Protocol (TCP/IP), Hypertext Transfer Protocol (HTTP), Single Mail Transfer Protocol (SMTP), Post Office Protocol 3 versions (POP3), and more.
- TCP/IP Transmission Control Protocol/Internet Protocol
- HTTP Hypertext Transfer Protocol
- SMTP Single Mail Transfer Protocol
- POP3 Post Office Protocol 3 versions
- the client 501 can perform information interaction with the server 502 through various communication standards in the embodiment of the present invention.
- various communication standards such as Global System for Mobile Communications (GSM), Wideband Code Division Multiple Access (WCDMA), Code Division Multiple Access 2000 (CDMA-2000), and Time Division Synchronous Code Division Multiple Access (TD-SCDMA) can be used.
- GSM Global System for Mobile Communications
- WCDMA Wideband Code Division Multiple Access
- CDMA-2000 Code Division Multiple Access 2000
- TD-SCDMA Time Division Synchronous Code Division Multiple Access
- the information interaction format between the client 501 and the server 502 can take many forms.
- the information format may include, but is not limited to, short message (SMS), email, instant messaging (IM) information, multimedia information (MMS) or voice information, and the like.
- SMS short message
- IM instant messaging
- MMS multimedia information
- voice information and the like.
- a client 501 configured to determine a user attribute label, record a user audio file, extract decibel information of the user audio file from the recorded user audio file, and extract the user attribute label and the extracted decibel information of the user audio file. Sent to the server 502; and present the comparison result sent by the server 502;
- the server 502 is configured to divide the user into N groups based on the user attribute label, where N is a positive integer of at least 2, and the decibel information of the user audio file sent by the client is different from the other group of the user The decibel information of the group of users is compared, and the comparison result is sent to the client.
- the client 501 is configured to record a user audio file of a preset time period, and obtain a maximum decibel number within the preset time period based on the decibel information of the user audio file, based on the user audio file.
- the decibel information is drawn into a decibel graph, the decibel graph and the maximum decibel number are presented; and the user audio file, the decibel graph, and/or the maximum decibel number are sent to the server 502.
- the client 501 is configured to record a user audio file by using an ALAC encoder, the audio compression (FLAC) encoder records a user audio file, and reads an average level and a peak level of each channel through a timing callback function; or Adaptive prediction (APE) encoder Value level.
- ALAC audio compression
- APE Adaptive prediction
- the client 501 is configured to extract, from the recorded user audio file, a maximum decibel number within a predetermined time period
- a server 502 configured to determine a decibel value interval to which the extracted maximum decibel number in a predetermined time period belongs; determine a number of users whose maximum decibel number is lower than the decibel value interval among other group users different from the group in which the user is located Ml; divide M1 by K as a comparison result, and present the comparison result, where K is the total number of users different from the other groups of the group in which the user is located.
- the client 501 is configured to extract, from the recorded user audio file, an average decibel number within a predetermined time period
- the server 502 is configured to determine a decibel value interval to which the extracted average decibel number in a predetermined time period belongs, and determine a number of users whose average decibel number is lower than the decibel value interval among other group users different from the group in which the user is located. M2; M2 is divided by K as a comparison result, and the comparison result is presented, where K is the total number of users different from other groups of the group in which the user is located.
- the client 501 is further configured to push the decibel graph, the recorded user audio file, and/or the maximum decibel number to a social network service (SNS) platform, where the SNS platform includes at least one of the following: Weibo, blog or personal cyberspace.
- SNS social network service
- the device shown in Figure 4 can be integrated into the hardware entities of various communication networks.
- audio interaction devices can be integrated into: feature phones, smartphones, PDAs, personal computers (PCs), tablets or personal digital assistants (PDAs), and more.
- PCs personal computers
- PDAs personal digital assistants
- an audio communication device can be written as a plug-in installed in a smart terminal by following a certain specification application interface, or it can be packaged as an application for the user to download and use.
- plug-in When written as a plug-in, it can be implemented as a variety of plug-ins such as ocx , dll, cab, etc. Also available via Flash plugin, RealPlayer plugin, MMS plugin, MIDI
- the specific technology of the staff of the staff of the present invention implements the audio interaction device proposed by the embodiment of the present invention. You can also set the plugin as a companion, instrumental product of an app, so that users can play audio by selecting the supported contestants before, during, and before the game, and support the favorite by the number of decibels.
- the competition side and compared with the supporters of the cube, to obtain the confrontation (PK) effect between each user group, and can also share audio data, decibel data and the like to various platforms.
- PK confrontation
- the audio interaction method proposed by the embodiment of the present invention can be stored on various storage media by means of instructions or a storage mode stored in the instruction set.
- These storage media include, but are not limited to, floppy disks, optical disks, DVDs, hard disks, flash memory, USB flash drives, CF cards, SD cards, MMC cards, SM cards, Memory Sticks, xD cards, and the like.
- the audio interaction method provided by the embodiment of the present invention may also be applied to a Nand flash-based storage medium, such as a USB flash drive, a CF card, an SD card, an SDHC card, an MMC card, an SM card, a memory stick, xD card, etc.
- a Nand flash-based storage medium such as a USB flash drive, a CF card, an SD card, an SDHC card, an MMC card, an SM card, a memory stick, xD card, etc.
- Figure 6 is a block diagram showing the structure of yet another audio interactive device in accordance with an embodiment of the present invention.
- the apparatus includes: a memory 610, and a processor 620 communicatively coupled to the memory 610, wherein the memory 610 stores computer executable instructions executable by the processor 620. among them:
- the computer executable instructions are used to instruct the processor 620 to determine a user attribute tag, record a user audio file, extract decibel information of the user audio file from the recorded user audio file, and extract the user attribute tag and the extracted
- the decibel information of the user audio file is sent to the server; and the comparison result sent by the server is presented.
- the computer executable instructions are further configured to instruct the processor 620 to record a user audio file of a predetermined time period, and obtain a maximum decibel number within the predetermined time period based on the decibel information of the user audio file, A decibel graph is drawn based on the decibel information of the user audio file, and the decibel graph and the maximum decibel number are presented.
- the computer executable instructions may be used to indicate that the ALAC encoder is used to record the flat; or to indicate that the user audio file is recorded by a free audio compression (FLAC) encoder, and the predictive (APE) encoder records the user audio file and passes
- FLAC free audio compression
- APE predictive
- the computer executable instructions are operable to instruct the processor 620 to extract a maximum decibel number or an average decibel number in a predetermined time period from the recorded user audio file, and extract the extracted predetermined time period The maximum decibel number or average decibel number is sent to the server.
- the computer executable instructions are further configured to instruct the processor 620 to push the decibel graph, the recorded user audio file, and/or the maximum decibel number to a social network service (SNS) platform
- SNS social network service
- the SNS platform includes at least one of the following: a microblog, a blog, or a personal cyberspace.
- the audio interaction device shown in FIG. 6 can be a client device.
- FIG. 7 is a schematic structural diagram of still another audio interaction device according to an embodiment of the present invention.
- the apparatus includes: a memory 710, and a processor 720 communicatively coupled to the memory 710, wherein the memory 710 stores computer executable instructions executable by the processor 720. among them:
- the computer executable instructions are used to instruct the processor 720 to divide the users into N groups based on user attribute tags determined by the client, where N is a positive integer of at least 2 and the client.
- N is a positive integer of at least 2 and the client.
- the decibel information of the user audio file sent by the terminal is compared with the decibel information of other group users different from the group in which the user is located, and the comparison result is presented, or the comparison result is sent to the client.
- the computer executable instructions are operable to instruct the processor 720 to determine a decibel value interval to which a maximum decibel number extracted by a client within a predetermined time period belongs; determine other than the group in which the user is located Among the group users, the maximum number of decibels is lower than the number of users M1 of the decibel value interval; M1 is divided by K as a comparison result, and the comparison result is presented, or the comparison result is sent to the client, where K is different from the The total number of users in other groups in the user's group.
- the computer executable instructions are further configured to instruct the processor 720 to determine a decibel value interval to which an average decibel number extracted by a client within a predetermined time period belongs; determining that is different from the group in which the user is located Among other groups of users, the average decibel number ⁇ is the number of users in the decibel interval M2; M2 is divided by K as a comparison result, and the comparison result is sent to the client, where K is a different group from the group in which the user is located The total number of users.
- the audio interaction device shown in Figure 7 can be a server device.
- the user attribute label is determined, and the user is divided into N groups based on the user attribute label, where N is a positive integer of at least 2; the user audio file is recorded, and recorded from Extracting the decibel information of the user audio file from the user audio file; comparing the extracted decibel information of the user audio file with decibel information of other group users different from the group in which the user is located, and presenting the comparison result.
- interactive data generated in audio interactions can be shared into other application platforms, thus facilitating efficient integration of interactive data.
- embodiments of the present invention can be applied to various terminals, and the embodiments of the present invention can be used across terminals according to the platform, and the scope of application is very wide.
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- Audiology, Speech & Language Pathology (AREA)
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Abstract
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/440,223 US20150317124A1 (en) | 2012-11-01 | 2013-10-29 | Audio interaction method, apparatus, and system |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210430969.3A CN103795699A (zh) | 2012-11-01 | 2012-11-01 | 一种音频交互方法、装置和系统 |
| CN201210430969.3 | 2012-11-01 |
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| WO2014067443A1 true WO2014067443A1 (zh) | 2014-05-08 |
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| PCT/CN2013/086123 Ceased WO2014067443A1 (zh) | 2012-11-01 | 2013-10-29 | 一种音频交互方法、装置和系统 |
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| US (1) | US20150317124A1 (zh) |
| CN (1) | CN103795699A (zh) |
| WO (1) | WO2014067443A1 (zh) |
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| CN104279701B (zh) * | 2014-09-30 | 2017-01-18 | 广东美的制冷设备有限公司 | 房间内空气质量信息分享的系统和方法、服务器和移动终端 |
| CN104363475B (zh) * | 2014-11-14 | 2018-11-23 | 广州华多网络科技有限公司 | 一种观众分组关联的方法、装置和系统 |
| CN104333775B (zh) * | 2014-11-25 | 2017-11-07 | 广州华多网络科技有限公司 | 一种直播频道中虚拟物品互动方法、装置和系统 |
| US20190180859A1 (en) * | 2016-08-02 | 2019-06-13 | Beyond Verbal Communication Ltd. | System and method for creating an electronic database using voice intonation analysis score correlating to human affective states |
| CN109065076B (zh) * | 2018-09-05 | 2020-11-27 | 深圳追一科技有限公司 | 音频标签的设置方法、装置、设备和存储介质 |
| CN110896491A (zh) * | 2019-11-12 | 2020-03-20 | 深圳创维-Rgb电子有限公司 | 一种基于音频识别的节目推荐方法、系统及存储介质 |
| CN112423028A (zh) * | 2020-10-26 | 2021-02-26 | 深圳Tcl新技术有限公司 | 多媒体文件传输方法、装置、多媒体终端以及存储介质 |
| CN115457977A (zh) * | 2022-08-09 | 2022-12-09 | 深圳市品声科技有限公司 | 一种收发端双向双模音频交互系统 |
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| Publication number | Publication date |
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| CN103795699A (zh) | 2014-05-14 |
| US20150317124A1 (en) | 2015-11-05 |
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