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

Music style classification method and device, computer device and storage medium

A classification method and style technology, applied in the field of computer identification, can solve problems such as limitations, heavy classification workload, and high professional ability requirements for classification personnel, and achieve high classification, fast classification speed, and the effect of solving limitations

Pending Publication Date: 2019-08-30
PING AN TECH (SHENZHEN) CO LTD
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Music style is a label that reflects the overall characteristics of a piece of music. The music style classification of a piece of popular music can be divided into country music, jazz, rock, heavy metal music, punk, electronic music, soul music, R&B, Britpop, fugue, gangsta rap There are hundreds of kinds, and the workload of manual classification is huge and limited to the higher professional ability requirements of the personnel who do the classification, and the style labels that can be labeled for music are limited to the knowledge and personal cognition of the classification personnel

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
  • Music style classification method and device, computer device and storage medium
  • Music style classification method and device, computer device and storage medium
  • Music style classification method and device, computer device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] refer to figure 1 Shown is a schematic flow chart of the music style classification method of the present invention, the method includes the following steps S101-S103:

[0058] Step S101, obtaining a data set, the data set is composed of multiple types of audio, and the music style of each audio is known;

[0059] In this step, the data set is generally prepared by the user and stored in the set storage path. When this method is executed, it can be read from the set storage path. In this embodiment, 10 music styles are selected, and 10 The music genres are: country music, jazz, rock, heavy metal, punk, electronic music, soul music, R&B, Britpop, and fugue. Each music style contains 50 audio tracks, and the length is uniformly 30 seconds. In another embodiment, the data set can also be automatically obtained from the network by the system, specifically, the audio of a set number (such as 50) of a set type of music style (such as country music) is automatically obtained th...

Embodiment 2

[0099] refer to Figure 6 , is a schematic diagram of the program modules of the music style classification device 500 in Embodiment 2 of the present invention, the music style classification device 500 may include or be divided into one or more program modules, one or more program modules are stored in a storage medium, and Executed by one or more processors to complete the present invention and realize the above music style classification method. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments capable of completing specific functions, which is more suitable than the program itself to describe the execution process of the music style classification method in the storage medium. The following description will specifically introduce the functions of each program module of the present embodiment:

[0100] Obtaining module 501, obtaining a data set, the data set is composed of multiple types of...

Embodiment 3

[0139] refer to Figure 7 , is a schematic diagram of the hardware architecture of the computer device 600 according to Embodiment 3 of the present invention. In this embodiment, the computer device 600 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. As shown in the figure, the computer device 600 at least includes, but is not limited to, a memory 601 , a processor 602 , a network interface 603 , and a music style classification device 604 that can communicate with each other through a system bus. in:

[0140] In this embodiment, the memory 601 includes at least one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory ( RAM), static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory...

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 a music style classification method and device, a computer device and a storage medium. The method comprises: acquiring a data set; preprocessing audio in the data set, and inputting the preprocessed audio into a preset deep convolutional neural network for training to obtain a trained network model; preprocessing the to-be-classified audio, and inputting the to-be-classified audio into the network model to obtain a music style recognition result of the to-be-classified audio; wherein the preprocessing comprises the step of separating a harmonic sound source and a shockwave sound source of the processed audio; and converting the original sound source, the harmonic sound source and the shock wave sound source of the processed audio into spectrograms. According to the music style classification method, the computer device and the storage medium provided by the invention, the audio is converted into the spectrogram, the deep convolutional neural network is trainedby using the spectrogram, and the to-be-classified audio frequency is classified and identified by using the trained network model, so that the high-precision classification of the audio frequency can be successfully realized, the classification speed is high, and the limitation of manual classification is solved.

Description

technical field [0001] The invention relates to the technical field of computer identification, in particular to a music style classification method, device, computer equipment and storage medium. Background technique [0002] Music style is a label that reflects the overall characteristics of a piece of music. The music style classification of a piece of popular music can be divided into country music, jazz, rock, heavy metal music, punk, electronic music, soul music, R&B, Britpop, fugue, gangsta rap There are hundreds of kinds, and the workload of manual classification is huge and limited to the high professional ability of the personnel who do the classification, and the style labels that can be labeled for music are limited to the knowledge and personal cognition of the classification personnel. Using the neural network method can judge the music style when only a piece of audio is given, and label the piece of audio. This is of great significance to the retrieval and cl...

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): G06F16/65G06F16/683G06N3/04
CPCG06F16/65G06F16/683G06N3/045
Inventor 王健宗刘奡智
Owner PING AN TECH (SHENZHEN) CO LTD
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