Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Electronic music classification method and system based on multi-sound-source separation

An electronic music and multi-source technology, applied in the computer field, can solve the problem of low classification accuracy and achieve the effects of improving classification accuracy, expanding granularity, and effectively describing

Active Publication Date: 2020-08-04
WUHAN UNIV
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a method and system for electronic music classification based on the separation of multiple sound sources, which is used to solve or at least partially solve the technical problem of low classification accuracy existing in the methods in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electronic music classification method and system based on multi-sound-source separation
  • Electronic music classification method and system based on multi-sound-source separation
  • Electronic music classification method and system based on multi-sound-source separation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] This embodiment provides a kind of electronic music classification method based on the separation of multiple sound sources, please refer to figure 1 , the method includes:

[0050] S1: Obtain electronic music files, perform preprocessing and labeling to form training data;

[0051] S2: Build an electronic music classification model, wherein the electronic music classification model includes a sound source separation network, a time-frequency domain transformation module, and a classification network, wherein the sound source separation network is used to extract N kinds of sound sources from the input music file, and the time-frequency domain The transformation module is used to convert the time-frequency domain to generate a spectrogram matrix according to the separated N kinds of sound source files and the original music of the input music file through short-time Fourier transform and harmonic / impact source separation technology, wherein the generated The spectrogra...

Embodiment 2

[0108] Based on the same inventive concept, this embodiment provides a kind of electronic music classification system based on the separation of multiple audio sources, the system includes:

[0109] The training data acquisition module is used to acquire electronic music files, perform preprocessing and labeling, and form training data;

[0110] Model building module: used to build an electronic music classification model, wherein the electronic music classification model includes a sound source separation network, a time-frequency domain transformation module and a classification network, wherein the sound source separation network is used to extract N kinds of sound sources from the input music file , the time-frequency domain transformation module is used to perform time-frequency domain transformation to generate a spectrogram matrix based on the separated N types of sound source files and the original music of the input music file, through short-time Fourier transform and ...

Embodiment 3

[0115] Based on the same inventive concept, the present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed, the method as described in the first embodiment is implemented.

[0116]Since the computer-readable storage medium introduced in the third embodiment of the present invention is the computer-readable storage medium used to implement the electronic music classification method based on the separation of multiple sound sources in the first embodiment of the present invention, it is based on the introduction in the first embodiment of the present invention method, those skilled in the art can understand the specific structure and deformation of the computer-readable storage medium, so details are not repeated here. All computer-readable storage media used in the method in Embodiment 1 of the present invention fall within the scope of protection intended by the present invention.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an electronic music classification method and system based on multi-sound-source separation, and the method comprises the steps: reading a to-be-classified electronic music file, and extracting N representative sound sources through a sound source separation network; generating a spectrogram matrix from the separated N sound source files and the original koji through a short-time Fourier transform and harmonic / impact source separation technology; enabling the spectrogram matrix to obtain feature representation containing local information and time sequence information through a convolutional recurrent neural network (CRNN); and finally enabling the feature representation to pass through a plurality of full connection layers and softmax functions, and outputting thecategory of the to-be-classified electronic music. By adopting the method, the accuracy of electronic music classification can be greatly improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for classifying electronic music based on the separation of multiple sound sources. Background technique [0002] With the prevalence of electronic syllable festivals and electronic music culture, electronic music has long since shed its niche and experimental image, and has gradually entered the embrace of the mainstream music market. After the booming development since the 1970s, the genres of electronic music are constantly increasing. Wikipedia has included more than 200 types of subdivisions. Massive electronic music urgently needs to be classified to improve database management and achieve more. Customized behaviors, such as music retrieval, music recommendation, etc. [0003] In the process of implementing the present invention, the inventor of the present application found that the method of the prior art has at least the following technical problem...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/65G06K9/62G06N3/04G10L19/02G10L25/30
CPCG06F16/65G10L19/02G10L25/30G10H2210/031G10H2240/121G06N3/045G06F18/214
Inventor 荆晓远訾璐吴迪孔晓辉
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com