CN117496924A - Music sharing method and system based on AI (advanced technology attachment) eversion model - Google Patents

Music sharing method and system based on AI (advanced technology attachment) eversion model Download PDF

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Publication number
CN117496924A
CN117496924A CN202311458154.0A CN202311458154A CN117496924A CN 117496924 A CN117496924 A CN 117496924A CN 202311458154 A CN202311458154 A CN 202311458154A CN 117496924 A CN117496924 A CN 117496924A
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audio
model
music
singing
chorus
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CN202311458154.0A
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Inventor
孟祥林
刘翼
金笃煊
范丽丽
陈畅
刘英哲
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Jiangsu Intelligent Unmanned Equipment Industry Innovation Center Co ltd
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Jiangsu Intelligent Unmanned Equipment Industry Innovation Center Co ltd
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Publication of CN117496924A publication Critical patent/CN117496924A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • 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
    • G06F16/63—Querying
    • G06F16/638—Presentation of query results
    • G06F16/639—Presentation of query results using playlists
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
    • G10H1/00—Details of electrophonic musical instruments
    • G10H1/0008—Associated control or indicating means
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
    • G10H1/00—Details of electrophonic musical instruments
    • G10H1/0033—Recording/reproducing or transmission of music for electrophonic musical instruments
    • 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
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/003—Changing voice quality, e.g. pitch or formants
    • G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Software Systems (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Security & Cryptography (AREA)
  • Databases & Information Systems (AREA)
  • Computer Hardware Design (AREA)
  • Technology Law (AREA)
  • Computational Linguistics (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Electrophonic Musical Instruments (AREA)

Abstract

The invention relates to a music sharing method and system based on an AI (advanced technology attachment) eversion model, comprising the following steps: preprocessing the acquired audio data to serve as training data, and inputting the training data into an AI (analog input) singing model to obtain a trained AI singing model; setting a music player based on an AI (analog input) singing model, so that a user can select corresponding song information in the music player according to preference, and generating singing audio; and after the generated turner audio is subjected to copyright authentication processing, the turner audio is released for other users to select. According to the invention, higher-quality music can be generated through the AI (advanced technology attachment) singing model, so that the user experience is improved; can be applied in the field of artificial intelligence music sharing.

Description

Music sharing method and system based on AI (advanced technology attachment) eversion model
Technical Field
The invention relates to the technical field of artificial intelligence music sharing, in particular to a music sharing method and system based on an AI (advanced technology attachment) singing model.
Background
The existing music player generally adopts a digital audio technology and a network transmission technology, can play various music forms, provides rich music resources and personalized play lists, and simultaneously supports functions of music downloading, online purchase, social sharing and the like. Specifically, existing music player technologies include: 1. audio coding and decoding techniques: audio codec technology can convert an audio signal into a digital signal, thereby realizing the digitization and compression of music. 2. Network transmission technology: music players can acquire and transmit music data through network transmission technologies, including local area networks, wide area networks, mobile communication networks, and the like. 3. Database technology: the music player may use database technology to manage and store music information and user information, including music metadata, play history, user preferences, and the like. 4. User interface technology: music players need to use user interface technology to present music assets, playlist control panels, interactive functions, and the like.
However, the existing music players have the following problems: 1. music recommendation is inaccurate: existing music players generally use methods based on collaborative filtering, content recommendation and the like to conduct music recommendation, but the recommendation effect is limited by data quantity and data quality, and problems of inaccurate recommendation, identical taste and the like are prone to occurring. 2. Music copyright and distribution problems: existing music players have certain difficulties and challenges in terms of music copyright and distribution, and may need to pay copyright fees or face infringement risks. 3. Music composition and singing restrictions: existing music players typically only provide pre-recorded works and users cannot freely compose and listen to other musical works of singers.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a music sharing method and a system based on an AI (advanced technology attachment) singing model, which can generate higher-quality music through the AI singing model and improve user experience.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a music sharing method based on an AI (advanced technology attachment) eversion model comprises the following steps:
preprocessing the acquired audio data to serve as training data, and inputting the training data into an AI (analog input) singing model to obtain a trained AI singing model;
setting a music player based on an AI (analog input) singing model, so that a user can select corresponding song information in the music player according to preference, and generating singing audio;
and after the generated turner audio is subjected to copyright authentication processing, the turner audio is released for other users to select.
Further, the acquired audio data includes: the audio data of the original singing, the audio data of the turner singing, the audio data of different music styles and the audio data uploaded by the user.
Further, preprocessing the acquired audio data to obtain training data, including:
and cleaning and processing the acquired audio data, extracting corresponding audio features, and taking the audio features as training data.
Further, the audio features include treble, timbre, and tempo.
Further, the step of generating the pop audio includes:
the original singing video is preprocessed and then combined with the audio features output by the AI eversion model, so that combined audio features are obtained;
respectively performing note control and tone control on the combined audio features, inputting the audio features after the note control into one sound synthesizer, and inputting the audio features after the tone control into the other sound synthesizer;
and combining the sounds output by the two sound synthesizers to generate the singing voice frequency.
Further, performing copyright authentication processing on the generated evergreen audio, including:
and transmitting the copyright information and the audio information of the singing audio to a copyright database, verifying the copyright by retrieving the corresponding copyright information, and authorizing the music to finish copyright authentication processing.
Further, before issuing, the method further comprises:
post-processing is performed on the generated chorus audio, including denoising, noise reduction and volume balancing operations.
The invention also provides a music sharing system based on the AI (advanced technology attachment) singing model, which comprises:
the AI eversion model construction module is used for preprocessing the acquired audio data and inputting the audio data into the AI eversion model to obtain a trained AI eversion model;
the music player is set on the basis of the AI (analog input) music playing module, so that a user can select corresponding song information in the music player according to preference, and a music playing audio is generated;
and the output module is used for issuing the generated turner audio after copyright authentication processing so as to be used for other users to select.
The invention also provides a computer readable storage medium storing one or more programs, characterized in that the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
The present invention also provides a computing device comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-7.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention can carry out personalized customization: most of the conventional music players provide only a search function, and the user's choice is limited. The music player can provide more diversified choices for users based on the AI (analog input) singing model, for example, different singers can be selected for singing, and the user can input the audio data to sing favorite songs, so that more personalized experience is provided.
2. The invention can improve the music quality: through the AI (analog to digital) turnning model, the quality of music can be improved, and especially for songs with insufficient singer singing work or without singer turnning, higher-quality music can be generated through the AI turnning model, so that user experience is better.
3. The invention can reduce copyright risk: the invention can reduce the copyright risk by cooperating with the music copyright party, can provide more choices for users after obtaining the copyright, and simultaneously ensures the rights and interests of the copyright party.
In summary, the invention can select more diversified music, can realize personalized music singing, provide higher-quality music singing, and provide a new propaganda platform for some singers which are not well known by the public. The user may generate a favorite pop song by uploading his audio file.
Drawings
FIG. 1 is a flowchart of a music sharing method based on an AI vocal model in an embodiment of the invention;
FIG. 2 is a detailed flowchart of a music sharing method based on an AI vocal model in an embodiment of the invention;
fig. 3 is a flow chart of generation of a singing audio in an embodiment of the invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and examples.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
The invention provides a music sharing method and a system based on an AI (advanced technology attachment) turner model, wherein a user purchases the copyright of a required song or singer on a platform and uploads own original singing. The background AI singing model analyzes and processes the original singing, and synthesizes the processed audio file into a new singing version according to the singing effect set by the user. The user can adjust the singing effect, such as tone, rhythm, etc., and can download and share the singing result.
In one embodiment of the invention, a music sharing method based on an AI-chorus model is provided. In this embodiment, as shown in fig. 1 and 2, the method includes the following steps:
1) Preprocessing the acquired audio data to serve as training data, and inputting the training data into an AI (analog input) singing model to obtain a trained AI singing model;
2) Setting a music player based on an AI (analog input) singing model, so that a user can select corresponding song information in the music player according to preference, and generating singing audio;
3) And after the generated turner audio is subjected to copyright authentication processing, the turner audio is released for other users to select.
In the step 1), the acquired audio data includes: the audio data of the original singing, the audio data of the turner singing, the audio data of different music styles and the audio data uploaded by the user.
In the step 1), the obtained audio data is preprocessed and then used as training data, specifically:
and cleaning and processing the acquired audio data, extracting corresponding audio features, and taking the audio features as training data.
In this embodiment, the audio features include treble, timbre, rhythm, and the like.
In this embodiment, an AI-based vocal reproduction model is trained using the cleaned audio data, and the model can generate a vocal reproduction song with a similar sound line according to information such as a singer, a song, etc. selected by the user. And the accuracy and tone quality of the eversion model are continuously improved by continuously training and optimizing the AI eversion model.
In the above step 2), the design of the music player includes: the interface and the function of the music player designed based on the AI (analog input) singing model comprise basic functions such as searching, playing, list management and the like.
In the above step 2), as shown in fig. 3, the generation of the singing audio includes the steps of:
2.1 Combining the original singing video after preprocessing with the audio features output by the AI (advanced technology attachment) singing model to obtain combined audio features;
2.2 Respectively performing note control and tone control on the combined audio features, inputting the audio features after the note control into one sound synthesizer, and inputting the audio features after the tone control into the other sound synthesizer;
2.3 The sounds output by the two sound synthesizers are combined to generate the singing audio.
In the step 2), the user may select corresponding song information in the music player according to preference, specifically: the user can select the information of singers, songs and the like in the music player according to the preference of the user; the music player passes the information selected by the user to the AI eversion model, generating an eversion song with a similar sound ray.
In the step 3), the generated turner audio is subjected to copyright authentication, specifically:
and transmitting the copyright information and the audio information of the singing audio to a copyright database, verifying the copyright by retrieving the corresponding copyright information, and authorizing the music to finish copyright authentication processing.
In each of the foregoing embodiments, before the publishing in the step 3), the method further includes a step of audio post-processing: post-processing is performed on the generated chorus audio, including denoising, noise reduction and volume balancing operations.
In the step 3), the audio generated by the singing is output to the music player for the user to play and listen.
In the above embodiments, the method further includes a step of user experience optimization. In order to provide better user experience, services of adjusting parameters of the turner model, customizing the mixing proportion and the like are provided for users.
In summary, the invention can provide a music singing platform capable of freely sharing and trading for users, firstly, users register from the website, after entering the homepage of the website, the users can select favorite singers and songs which the singers have not published according to own preference, or upload audio specific to the users, so as to use an AI model to sing songs. After confirming the sound source, the user can tune the well-sung result according to the preference of the user. Finally, the user can post his own music on the platform for other users to listen to or purchase.
In one embodiment of the present invention, there is provided a music sharing system based on an AI-dubbing model, including:
the AI eversion model construction module is used for preprocessing the acquired audio data and inputting the audio data into the AI eversion model to obtain a trained AI eversion model;
the music player is set on the basis of the AI (analog input) music playing module, so that a user can select corresponding song information in the music player according to preference, and a music playing audio is generated;
and the output module is used for issuing the generated turner audio after copyright authentication processing so as to be used for other users to select.
In the above embodiment, the acquired audio data includes: the audio data of the original singing, the audio data of the turner singing, the audio data of different music styles and the audio data uploaded by the user.
In the above embodiment, preprocessing the acquired audio data to be used as training data includes:
and cleaning and processing the acquired audio data, extracting corresponding audio features, and taking the audio features as training data.
Wherein the audio features include treble, timbre and tempo.
In the above embodiment, generating the singing audio includes:
the original singing video is preprocessed and then combined with the audio features output by the AI eversion model, so that combined audio features are obtained;
respectively performing note control and tone control on the combined audio features, inputting the audio features after the note control into one sound synthesizer, and inputting the audio features after the tone control into the other sound synthesizer;
and combining the sounds output by the two sound synthesizers to generate the singing voice frequency.
In the above embodiment, performing copyright authentication processing on the generated evergreen audio includes:
and transmitting the copyright information and the audio information of the singing audio to a copyright database, verifying the copyright by retrieving the corresponding copyright information, and authorizing the music to finish copyright authentication processing.
In the above embodiment, before issuing, the method further includes: post-processing is performed on the generated chorus audio, including denoising, noise reduction and volume balancing operations.
The system provided in this embodiment is used to execute the above method embodiments, and specific flow and details refer to the above embodiments, which are not described herein.
In one embodiment of the present invention, a computing device structure is provided, which may be a terminal, and may include: a processor (processor), a communication interface (Communications Interface), a memory (memory), a display screen, and an input device. The processor, the communication interface and the memory complete communication with each other through a communication bus. The processor is configured to provide computing and control capabilities. The memory comprises a non-volatile storage medium storing an operating system and a computer program which when executed by the processor implements the method described above; the internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a manager network, NFC (near field communication) or other technologies. The display screen can be a liquid crystal display screen or an electronic ink display screen, the input device can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computing equipment, and can also be an external keyboard, a touch pad or a mouse and the like. The processor may invoke logic instructions in memory.
Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In one embodiment of the present invention, a computer program product is provided, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the method embodiments described above.
In one embodiment of the present invention, a non-transitory computer readable storage medium storing server instructions that cause a computer to perform the methods provided by the above embodiments is provided.
The foregoing embodiment provides a computer readable storage medium, which has similar principles and technical effects to those of the foregoing method embodiment, and will not be described herein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A music sharing method based on an AI-chorus model, comprising:
preprocessing the acquired audio data to serve as training data, and inputting the training data into an AI (analog input) singing model to obtain a trained AI singing model;
setting a music player based on an AI (analog input) singing model, so that a user can select corresponding song information in the music player according to preference, and generating singing audio;
and after the generated turner audio is subjected to copyright authentication processing, the turner audio is released for other users to select.
2. The AI-chorus-model-based music sharing method of claim 1 wherein the acquired audio data comprises: the audio data of the original singing, the audio data of the turner singing, the audio data of different music styles and the audio data uploaded by the user.
3. The AI-chorus-model-based music sharing method of claim 1 wherein preprocessing the acquired audio data as training data comprises:
and cleaning and processing the acquired audio data, extracting corresponding audio features, and taking the audio features as training data.
4. The AI-chorus-model-based music sharing method of claim 3 wherein the audio features include treble, timbre, and tempo.
5. The AI-chorus-model-based music sharing method of claim 1 wherein generating chorus audio comprises:
the original singing video is preprocessed and then combined with the audio features output by the AI eversion model, so that combined audio features are obtained;
respectively performing note control and tone control on the combined audio features, inputting the audio features after the note control into one sound synthesizer, and inputting the audio features after the tone control into the other sound synthesizer;
and combining the sounds output by the two sound synthesizers to generate the singing voice frequency.
6. The AI-chorus-model-based music sharing method of claim 1, wherein performing a copyright authentication process on the generated chorus audio comprises:
and transmitting the copyright information and the audio information of the singing audio to a copyright database, verifying the copyright by retrieving the corresponding copyright information, and authorizing the music to finish copyright authentication processing.
7. The AI-eversion model based music sharing method of claim 1, further comprising, prior to the posting:
post-processing is performed on the generated chorus audio, including denoising, noise reduction and volume balancing operations.
8. A music sharing system based on AI-chorus model, comprising:
the AI eversion model construction module is used for preprocessing the acquired audio data and inputting the audio data into the AI eversion model to obtain a trained AI eversion model;
the music player is set on the basis of the AI (analog input) music playing module, so that a user can select corresponding song information in the music player according to preference, and a music playing audio is generated;
and the output module is used for issuing the generated turner audio after copyright authentication processing so as to be used for other users to select.
9. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
10. A computing device, comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-7.
CN202311458154.0A 2023-11-05 2023-11-05 Music sharing method and system based on AI (advanced technology attachment) eversion model Pending CN117496924A (en)

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