CN108205546B - Song information matching system and method - Google Patents
Song information matching system and method Download PDFInfo
- Publication number
- CN108205546B CN108205546B CN201611170775.9A CN201611170775A CN108205546B CN 108205546 B CN108205546 B CN 108205546B CN 201611170775 A CN201611170775 A CN 201611170775A CN 108205546 B CN108205546 B CN 108205546B
- Authority
- CN
- China
- Prior art keywords
- lyric
- song
- audio
- information
- file
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F16/685—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using automatically derived transcript of audio data, e.g. lyrics
Abstract
The invention relates to a matching system and a method of song information, wherein the system comprises an acquisition unit, a song characteristic sequence identification unit and a lyric matching unit, wherein the acquisition unit is used for acquiring an audio file; the song characteristic sequence identification unit is used for analyzing the audio file and acquiring an audio characteristic code of the audio file; searching one or more pieces of song sample information matched with the audio feature codes of the audio files from a song database; and the lyric matching unit is used for searching one or more lyric samples matched with the one or more song sample information from the lyric database and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of the audio file. The invention can match the lyric information with the optimal audio frequency only by the audio frequency without any additional information, thereby greatly improving the experience of users for enjoying lyrics by playing songs across platforms and terminals and without limitation on sources.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a system and a method for matching song information.
Background
With the development of digital technology and the popularization of wireless music in the internet, it has become very easy for users to acquire music. According to big data statistics, hundreds of millions of songs are available in the world, the number of music playing platforms is even countless, and users obtain music from other ways and play the music locally becomes a very common phenomenon. Accordingly, the user needs to improve the experience of the song information and the lyric information.
The matching method of the song and the lyrics comprises the following steps: at present, most music providing platforms have two matching methods for songs and lyrics, one is to use a music client to download songs, and according to the ID of locally recorded songs in a song library, whether relevant lyrics exist in the song library of the platform for matching is inquired through the song ID stored during downloading, and the other is to provide the platform for a user to search a window, and to manually select the matched lyrics through searching information such as song names and the like.
At present, the defects in the matching process of the lyrics and the songs are as follows: the method for storing the song ID information locally has great limitation on the related song lyrics, and after the song is spread through sharing, copying and other purposes, the song ID information cannot be spread and stored therewith, namely when the song media file is spread to other media, the playing equipment is replaced or the playing software is replaced for playing again, the song information cannot be judged, and therefore the corresponding song lyrics cannot be matched. The user experiences poor degree and the use frequency is low by the way that the user searches the song lyrics manually for matching.
Disclosure of Invention
The invention aims to solve the technical problems in the matching process of the existing lyrics, and provides a song information matching system and a song information matching method, which fundamentally get rid of the traditional lyric matching mode, namely a method for matching the lyrics by depending on some information recorded in the song name, the file name and the song attribute or unreliable factors such as searching words by artificially listening to the song, and the like.
The user can match the lyric information with the optimal audio frequency only by the audio frequency without any additional information, thereby greatly improving the experience of enjoying lyrics by playing songs from different platforms, different terminals and different sources.
To achieve the above object, in one aspect, the present invention provides a song information matching system, including: the system comprises a lyric database, a song database, an acquisition unit, a song characteristic sequence identification unit and a lyric matching unit.
An acquisition unit for acquiring an audio file.
The song characteristic sequence identification unit is used for analyzing the audio file and acquiring an audio characteristic code of the audio file; and searching one or more song sample information matched with the audio characteristic codes of the audio files from the song database.
Specifically, the song characteristic sequence identification unit comprises a data module, a first index module and a first service module.
The data module is used for analyzing the audio file and acquiring the audio feature code of the audio file
And the first indexing module is used for carrying out index data analysis on the feature codes of the audio files and the feature codes of the songs in the song database according to the indexing program.
The first service module is used for loading the related index program established by the first index module and requesting to receive audio search access from the terminal; and uploading the audio searching access information from the terminal to a first index module, wherein the first index module acquires information of one or more song samples from a song database according to the index data and the audio searching access information. Wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
And the lyric matching unit is used for searching one or more lyric samples matched with the one or more song sample information from the lyric database, and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of the audio file.
The lyric matching unit includes: a second indexing module and a second service module.
Specifically, the second indexing module is configured to read one or more pieces of song sample information obtained from the lyric database and create an index file.
The second service module is used for receiving one or more song samples output by the song characteristic sequence identification unit; and performing lyric matching in a lyric database according to the information of one or more song samples to obtain one or more lyric samples, and performing weighting processing on the one or more song samples at least once to obtain the optimally matched lyrics of the audio file. The second service module is specifically configured to perform lyric matching in a lyric database according to one or more received song samples output from the song feature sequence identification unit to obtain one or more lyric samples, perform first weighting processing on the one or more lyric samples to obtain N lyrics (N is a positive integer) with the highest coupling degree with an audio file, sort the N lyrics from small to large according to time length and time difference, and perform second weighting processing on the N lyrics after sorting to obtain optimally matched lyrics of the audio file.
In another aspect, the present invention provides a method for matching song information, including the steps of: acquiring an audio file; analyzing the audio file to obtain an audio feature code of the audio file; searching one or more pieces of song sample information matched with the audio feature codes of the audio files from a song database; and searching one or more lyric samples matched with the one or more song sample information from the lyric database, and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of the audio file.
Specifically, the audio file is analyzed to obtain an audio feature code of the audio file; and the step of searching one or more song sample information matched with the audio characteristic codes of the audio files from the song database comprises the following steps: according to the indexing program, performing index data analysis on the feature codes of the audio files and the feature codes of the songs in the song database; loading a related index program established by a first index module, and requesting to receive audio search access from a terminal; and uploading the audio searching access information from the terminal to a first index module, wherein the first index module acquires information of one or more song samples from a song database according to the index data and the audio searching access information. Wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
The method comprises the steps of searching one or more lyric samples matched with one or more song sample information from a lyric database, and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of an audio file, wherein the steps are used for reading the one or more song sample information acquired from the lyric database and establishing an index file; one or more song samples output by the song characteristic sequence identification unit are received; and performing lyric matching in a lyric database according to the information of the one or more song samples to obtain one or more lyric samples, and performing weighting processing on the one or more song samples at least once to obtain the lyrics of the optimally matched audio file.
One or more song samples output by the song characteristic sequence identification unit are received; the method comprises the following steps of carrying out lyric matching in a lyric database according to one or more song sample information to obtain one or more lyric samples, and carrying out weighting processing on the one or more song samples at least once to obtain the lyrics of an audio file with optimal matching: performing lyric matching in a lyric database according to the information of one or more song samples to obtain one or more lyric samples, performing first weighting processing on the one or more lyric samples to obtain N lyrics (N is a positive integer) with the highest coupling degree with an audio file, sorting the N lyrics from small to large according to time length and time difference, and performing second weighting processing on the N lyrics after sorting to obtain the lyrics of the optimally matched audio file.
The song information matching system and method provided by the invention have the beneficial effects that: when the user hears favorite songs, the lyric information can be accurately displayed; the problem that song information of song files acquired by a user through other ways cannot be accurately displayed in real time when the song files are locally played in a traditional lyric matching mode is solved; meanwhile, the problems that the song audio file acquired by a user from some ways does not have any song information, including no information on the file name and no information on the audio attribute information, the lyric information of the song audio cannot be displayed by traditional lyric matching, and the like are solved; the invention solves the problem that the traditional lyric matching can not display the lyric information of the audio frequency of the song by using a high-efficiency, high-accuracy and simple lyric and song matching mode.
Drawings
Fig. 1 is a schematic structural diagram of a matching system for song information according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a song feature sequence identification unit according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a lyric matching unit according to an embodiment of the present invention;
fig. 4 is a flowchart of a song information matching method according to an embodiment of the present invention;
fig. 5 is an application scenario diagram of a song information matching system and method according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Fig. 1 is a schematic structural diagram of a matching system for song information according to an embodiment of the present invention. As shown in fig. 1, the system includes: an acquisition unit 101, a song feature sequence identification unit 102, a lyric matching unit 103, a lyric database 104 and a song database 105.
An obtaining unit 101 is used for obtaining an audio file.
The song characteristic sequence identification unit 102 is used for analyzing the audio file to obtain an audio characteristic code of the audio file; and one or more song sample information that matches the audio feature codes of the audio files from song database 105.
Specifically, the song feature sequence identifying unit 102 includes a data module 001, a first indexing module 002, and a first service module 003.
A data module 001 for analyzing the audio file to obtain the audio feature code of the audio file
The first indexing module 002 is configured to perform index data analysis on the feature codes of the audio file and the feature codes of the songs in the song database 105 according to an indexing program.
The first service module 003 is configured to load the relevant index program created by the first index module 002, and request to receive an audio search access from the terminal; uploading audio search access information from a terminal to a first index module, wherein the first index module acquires information of one or more song samples from a song database 105 according to index data and the audio search access information; for searching one or more lyrics samples matched with the one or more song sample information from the lyrics database 104, and determining the best matched lyrics sample from the one or more lyrics samples as the lyrics information of the audio file.
Wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
Specifically, the lyric matching unit 103 includes: a second indexing module 004 and a second service module 005.
And a second indexing module 004 for reading the one or more pieces of song sample information acquired from the lyric database 104 and creating an index file.
A second service module 005, for receiving one or more song samples from the song characteristic sequence identification unit; and performing lyric matching in the lyric database 104 according to the information of the one or more song samples to obtain one or more lyric samples, and performing weighting processing on the one or more song samples at least once to obtain the optimally matched lyrics of the audio file. The second service module is specifically configured to perform lyric matching in the lyric database 104 according to one or more song samples received from the song feature sequence identification unit, obtain one or more lyric samples, perform first weighting processing on the one or more lyric samples, obtain N lyrics (N is a positive integer) with the highest coupling degree with the audio file, sort the N lyrics from small to large according to time length and time difference, perform second weighting processing on the N lyrics after sorting, and obtain the lyrics of the optimally matched audio file.
Fig. 2 is a flowchart of a lyric information matching method according to an embodiment of the present invention. As shown in fig. 2, the method comprises the steps of:
step S201: an audio file is obtained.
Step S202: analyzing the audio file to obtain an audio feature code of the audio file; and searching one or more song sample information matched with the audio characteristic codes of the audio files from the song database.
Specifically, the audio file is analyzed to obtain an audio feature code of the audio file; and the step of searching one or more song sample information matched with the audio characteristic codes of the audio files from the song database comprises the following steps: according to the indexing program, performing index data analysis on the feature codes of the audio files and the feature codes of the songs in the song database; loading a related index program established by a first index module, and requesting to receive audio search access from a terminal; and uploading the audio searching access information from the terminal to a first index module, wherein the first index module acquires information of one or more song samples from a song database according to the index data and the audio searching access information. Wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
Step S203: and searching one or more lyric samples matched with the one or more song sample information from the lyric database, and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of the audio file.
The method comprises the steps of searching one or more lyric samples matched with one or more song sample information from a lyric database, and determining the best matched lyric sample from the one or more lyric samples as the lyric information of an audio file, wherein the steps are used for reading the one or more song sample information acquired from the lyric database and establishing an index file; one or more song samples output by the song characteristic sequence identification unit are received; and performing lyric matching in a lyric database according to the information of the one or more song samples to obtain one or more lyric samples, and performing weighting processing on the one or more song samples at least once to obtain the lyrics of the optimally matched audio file.
Wherein, the song characteristic sequence identification unit is used for receiving one or more song samples output by the song characteristic sequence identification unit; the method comprises the following steps of carrying out lyric matching in a lyric database according to one or more song sample information to obtain one or more lyric samples, and carrying out weighting processing on the one or more song samples at least once to obtain the lyrics of an audio file with optimal matching: performing lyric matching in a lyric database according to the information of one or more song samples to obtain one or more lyric samples, performing first weighting processing on the one or more lyric samples to obtain N lyrics (N is a positive integer) with the highest coupling degree with an audio file, sorting the N lyrics from small to large according to time length and time difference, and performing second weighting processing on the N lyrics after sorting to obtain the lyrics of the optimally matched audio file.
Fig. 3 is a schematic structural diagram of a lyric matching unit according to an embodiment of the present invention. As shown in fig. 3, the song characteristic sequence identifying unit 102 includes a data module 001, a first indexing module 002, and a first service module 003.
A data module 001 for analyzing the audio file to obtain the audio feature code of the audio file
The first indexing module 002 is configured to perform index data analysis on the feature codes of the audio file and the feature codes of the songs in the song database 105 according to an indexing program.
The first service module 003 is configured to load the relevant index program created by the first index module 002, and request to receive an audio search access from the terminal; uploading audio search access information from a terminal to a first index module, wherein the first index module acquires information of one or more song samples from a song database 105 according to index data and the audio search access information; for searching one or more lyrics samples matched with the one or more song sample information from the lyrics database 104, and determining the best matched lyrics sample from the one or more lyrics samples as the lyrics information of the audio file.
Wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
Fig. 4 is a flowchart of a song information matching method according to an embodiment of the present invention. As shown in fig. 4, the lyric matching unit 103 includes: a second indexing module 004 and a second service module 005.
And a second indexing module 004 for reading the one or more pieces of song sample information acquired from the lyric database 104 and creating an index file.
A second service module 005, for receiving one or more song samples from the song characteristic sequence identification unit; and performing lyric matching in the lyric database 104 according to the information of the one or more song samples to obtain one or more lyric samples, and performing weighting processing on the one or more song samples at least once to obtain the optimally matched lyrics of the audio file. The second service module is specifically configured to perform lyric matching in the lyric database 104 according to one or more song samples received from the song feature sequence identification unit, obtain one or more lyric samples, perform first weighting processing on the one or more lyric samples, obtain N lyrics (N is a positive integer) with the highest coupling degree with the audio file, sort the N lyrics from small to large according to time length and time difference, perform second weighting processing on the N lyrics after sorting, and obtain the lyrics of the optimally matched audio file.
Fig. 5 is an application scenario diagram of a song information matching system and method according to an embodiment of the present invention. As shown in fig. 5, first, lyric data is created, and a song file, a lyric file, is provided or created by a person concerned, a partner, or a third party, and a basic lyric database 104 and a basic song database 105 are created.
The acquisition unit 101: an audio file is obtained.
Song feature sequence identification unit 102: the method specifically comprises the following steps: the data module 001 intercepts 26-38 seconds of audio frequency from an audio file containing lyrics, transcodes the audio frequency into a wav format, extracts the feature codes of the wav through a Hidden Markov model and Fourier transformation, converts the feature codes into 1024 binary long integers and stores the integers in a song database. The above transcoding format is not limited to the wav format.
The indexing program in the first indexing module 002 reads from the song database and analyzes the audio files to create an index data file that is convenient for the indexing program to use.
The primary index file includes: audio feature code data file, song-feature code index record file, song feature code number and song ID mapping file, feature code index file.
The first service module 003, in the first step, loads the system with the relevant index established by the first index module 002, and receives the access from the terminal through the http request.
And secondly, uploading the characteristic sequence of the audio file of the user, the song duration and other available audio information by a request from the user terminal, and retrieving all songs containing 1024 integral audio files by the system.
And thirdly, finding the hit position of the audio file in the index by a hashing method, then comparing each keyword with conflict, recording each song with the completely same audio file (comparing the value of the audio file by tolerance), and simultaneously counting the number of keys which are the same as the audio file of each song.
And fourthly, sequencing the songs found out in the third step according to the number of the hit keywords.
And fifthly, returning N songs corresponding to the matched audio files according to the user setting, the number sequence and the threshold value, (N is a positive integer, and N is more than 5).
And sixthly, if no corresponding song is found in the fifth step, carrying out fine adjustment to the audio file to a certain extent, trying again, and finally obtaining sample information of one or more songs.
The second indexing module 004 in the lyric matching unit 103 reads the lyric information of the song from the song database and the lyric database, analyzes the sample information of one or more songs processed by the song characteristic sequence identifying unit 102, and establishes an index file.
The second service module 005 comprises a first step of inputting the audio file, the song duration, other input audio information and the matched one or more song sample information by the song characteristic sequence identification unit 102.
And secondly, finding one or more lyric samples according to the one or more song sample information.
And thirdly, a time slice of human voice in the audio file is taken, one or more lyric samples are traversed, time slices obtained by step-by-step extraction of 26-38 seconds of lyrics are extracted from the time slice, a coupling part is weighted, and N lyrics with the highest coupling degree (N is a positive integer) are taken.
And fourthly, sorting the N pieces of lyrics with the highest coupling degree found out in the third step from small to large according to the difference between the lyric time length and the song time length.
And fifthly, performing second weighting processing according to the sorted N lyrics.
And sixthly, obtaining the lyrics of the audio file which is optimally matched, and sending the lyrics which are optimally matched to the audio file to the terminal.
The lyric matching method provided by the invention fundamentally gets rid of the traditional lyric matching mode, namely, the method for matching lyrics by depending on some information recorded in song names, file names and song attributes or unreliable factors such as artificially listening to songs and searching words, the mode for matching audio lyrics is fundamentally changed, the audio lyrics are matched only by depending on the audio frequency, the dependence on unreliable information such as file names is got rid of, and other information is only used as auxiliary information. The user can match the lyric information with the optimal audio frequency only by the audio frequency without any additional information, thereby greatly improving the experience of enjoying lyrics by playing songs from different platforms, different terminals and different sources.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A matching system of song information is characterized by comprising an acquisition unit, a song characteristic sequence identification unit and a lyric matching unit; wherein the content of the first and second substances,
the acquisition unit is used for acquiring an audio file;
the song characteristic sequence identification unit is used for analyzing the audio file to obtain an audio characteristic code of the audio file; searching one or more pieces of song sample information matched with the audio feature codes of the audio files from a song database; the acquiring the audio feature code of the audio file comprises the following steps: intercepting audio with a certain time length from the audio file and transcoding, extracting feature codes of the transcoded audio through a hidden Markov model and Fourier transform, converting the feature codes into 1024 binary long integers to obtain audio feature codes of the audio file, and storing the audio feature codes into a song database;
the lyric matching unit is used for searching one or more lyric samples matched with the one or more song sample information from a lyric database, and determining the optimally matched lyric sample from the one or more lyric samples as the lyric information of the audio file.
2. The matching system according to claim 1, wherein the song characteristic sequence identifying unit includes:
the data module is used for analyzing the audio file to obtain an audio feature code of the audio file;
the first indexing module is used for carrying out index data analysis on the audio feature codes of the audio files and the feature codes of the songs in the song database according to an indexing program;
the first service module is used for loading the related index program established by the first index module and requesting to receive audio search access from the terminal; and uploading audio searching access information from a terminal to the first index module, wherein the first index module acquires one or more song sample information from the song database according to index data and the audio searching access information.
3. The matching system of claim 2, wherein the index data comprises: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
4. The matching system of claim 1, wherein the lyric matching unit specifically comprises:
the second index module is used for reading one or more pieces of song sample information matched with the audio feature codes of the audio files and establishing index files;
the second service module is used for receiving the one or more pieces of song sample information output by the song characteristic sequence identification unit; and performing lyric matching in the lyric database according to the one or more song sample information to obtain one or more lyric samples, and performing weighting processing on the one or more lyric samples at least once to obtain the optimally matched lyric sample as the lyric information of the audio file.
5. The matching system of claim 4, wherein the second service module is specifically configured to:
performing lyric matching in the lyric database according to the one or more song sample information output by the song characteristic sequence identification unit to obtain one or more lyric samples, performing first weighting processing on the one or more lyric samples to obtain N lyrics with the highest coupling degree with the audio file, sorting the N lyrics from small to large according to time length and time difference, performing second weighting processing on the sorted N lyrics to obtain the optimally matched lyric sample as the lyric information of the audio file; wherein N is a positive integer.
6. A song information matching method is characterized by comprising the following steps:
acquiring an audio file;
analyzing the audio file to obtain an audio feature code of the audio file; searching one or more pieces of song sample information matched with the audio feature codes of the audio files from a song database; the acquiring the audio feature code of the audio file comprises the following steps: intercepting audio with a certain time length from the audio file, transcoding, extracting feature codes of the transcoded audio through a hidden Markov model and Fourier transform, converting the feature codes into 1024 binary long integers to obtain audio feature codes of the audio file, and storing the audio feature codes into a song database;
and searching one or more lyric samples matched with the one or more song sample information from a lyric database, and determining the best matched lyric sample from the one or more lyric samples as the lyric information of the audio file.
7. The matching method according to claim 6, wherein the audio file is parsed to obtain an audio feature code of the audio file; and the step of searching one or more song sample information matched with the audio feature codes of the audio files from a song database comprises the following steps:
according to an indexing program, performing index data analysis on the audio feature codes of the audio files and the feature codes of the songs in the song database; loading a related index program established by a first index module, and requesting to receive audio search access information from a terminal; and uploading the audio searching access information from the terminal to the first index module, wherein the first index module acquires the one or more song sample information from the song database according to index data and the audio searching access information.
8. The matching method according to claim 7, wherein the index data includes: audio feature code data file, song feature code index record file, song feature code number and song ID mapping file, and feature code index file.
9. The matching method according to claim 6, wherein the step of searching the lyrics database for one or more lyrics samples matching the one or more song sample information, and the step of determining the best matching lyrics sample from the one or more lyrics samples as the lyrics information of the audio file comprises:
reading one or more pieces of song sample information matched with the audio feature codes of the audio files, and establishing an index file;
and performing lyric matching in the lyric database according to the one or more song sample information to obtain one or more lyric samples, and performing weighting processing on the one or more lyric samples at least once to obtain the optimally matched lyric sample as the lyric information of the audio file.
10. The method of claim 9, wherein the step of performing lyric matching in the lyric database according to the one or more song sample information to obtain one or more lyric samples, performing weighting processing on the one or more lyric samples at least once to obtain a best matching lyric sample as the lyric information of the audio file comprises:
performing lyric matching in the lyric database according to the one or more song sample information to obtain one or more lyric samples, performing first weighting processing on the one or more lyric samples to obtain N lyrics with the highest coupling degree with the audio file, sorting the N lyrics from small to large according to time length and time difference, performing second weighting processing on the N lyrics after sorting to obtain an optimally matched lyric sample as the lyric information of the audio file; wherein N is a positive integer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611170775.9A CN108205546B (en) | 2016-12-16 | 2016-12-16 | Song information matching system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611170775.9A CN108205546B (en) | 2016-12-16 | 2016-12-16 | Song information matching system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108205546A CN108205546A (en) | 2018-06-26 |
| CN108205546B true CN108205546B (en) | 2021-01-12 |
Family
ID=62601686
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611170775.9A Active CN108205546B (en) | 2016-12-16 | 2016-12-16 | Song information matching system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108205546B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107665240A (en) * | 2017-09-01 | 2018-02-06 | 北京雷石天地电子技术有限公司 | audio file clustering method and device |
| CN113836346B (en) * | 2021-09-08 | 2023-08-08 | 网易（杭州）网络有限公司 | Method, device, computing equipment and storage medium for generating abstract for audio file |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101237473A (en) * | 2008-02-27 | 2008-08-06 | 中兴通讯股份有限公司 | Method for dynamically playing lyric and mobile terminal and device for realizing this method |
| CN102087668A (en) * | 2011-02-17 | 2011-06-08 | 天擎华媒(北京)科技有限公司 | Method for automatically obtaining audio and video subtitles and lyrics and fast locating, searching and individually displaying |
| CN103971689A (en) * | 2013-02-04 | 2014-08-06 | 腾讯科技（深圳）有限公司 | Audio identification method and device |
| CN105095211A (en) * | 2014-04-22 | 2015-11-25 | 北大方正集团有限公司 | Acquisition method and device for multimedia data |
| CN105893430A (en) * | 2015-12-08 | 2016-08-24 | 乐视移动智能信息技术（北京）有限公司 | Lyrics matching method and device |
| CN106126748A (en) * | 2016-07-22 | 2016-11-16 | 广东欧珀移动通信有限公司 | The method and device of lyric match |
-
2016
- 2016-12-16 CN CN201611170775.9A patent/CN108205546B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101237473A (en) * | 2008-02-27 | 2008-08-06 | 中兴通讯股份有限公司 | Method for dynamically playing lyric and mobile terminal and device for realizing this method |
| CN102087668A (en) * | 2011-02-17 | 2011-06-08 | 天擎华媒(北京)科技有限公司 | Method for automatically obtaining audio and video subtitles and lyrics and fast locating, searching and individually displaying |
| CN103971689A (en) * | 2013-02-04 | 2014-08-06 | 腾讯科技（深圳）有限公司 | Audio identification method and device |
| CN105095211A (en) * | 2014-04-22 | 2015-11-25 | 北大方正集团有限公司 | Acquisition method and device for multimedia data |
| CN105893430A (en) * | 2015-12-08 | 2016-08-24 | 乐视移动智能信息技术（北京）有限公司 | Lyrics matching method and device |
| CN106126748A (en) * | 2016-07-22 | 2016-11-16 | 广东欧珀移动通信有限公司 | The method and device of lyric match |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108205546A (en) | 2018-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10497378B2 (en) | Systems and methods for recognizing sound and music signals in high noise and distortion | |
| CN100437572C (en) | Audio fingerprinting system and method | |
| CN111145737B (en) | Voice test method and device and electronic equipment | |
| CN108829765A (en) | A kind of information query method, device, computer equipment and storage medium | |
| US9576050B1 (en) | Generating a playlist based on input acoustic information | |
| KR100676863B1 (en) | System and method for providing music search service | |
| CN113590850A (en) | Multimedia data searching method, device, equipment and storage medium | |
| WO2016189307A1 (en) | Audio identification method | |
| CN108205546B (en) | Song information matching system and method | |
| US8069044B1 (en) | Content matching using phoneme comparison and scoring | |
| US20210225408A1 (en) | Content Pushing Method for Display Device, Pushing Device and Display Device | |
| KR20080107143A (en) | System and method for recommendation of music and moving video based on audio signal processing | |
| KR20070052027A (en) | Apparatus and method for keyword searching according to priority of inputted word and computer readable medium having stored thereon computer executable instruction for performing the method | |
| CN108897832B (en) | Method and device for automatically analyzing value information | |
| CN112435688A (en) | Audio recognition method, server and storage medium | |
| CN111930977A (en) | Method, device and equipment for identifying sensitive information and storage medium | |
| CN106411975B (en) | Data output method and device and computer readable storage medium | |
| CN112133327B (en) | Audio sample extraction method, device, terminal and storage medium | |
| CN102549575A (en) | Method for identifying and playing back an audio recording | |
| CN116304129A (en) | Method for determining associated object and content recommendation method | |
| CN117743267A (en) | Data pushing method and device, electronic equipment and storage medium | |
| CN112201234A (en) | Voice song-on-demand method and device based on multiple resources | |
| CN104994400A (en) | Method and device for indexing video by means of acquisition of host name |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |