An audio classification method and system based on an SVM

A classification method and audio technology, applied in audio data retrieval, audio data query, instruments, etc.

Pending Publication Date: 2019-05-17
CHONGQING UNIV OF EDUCATION
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the effectiveness of SVM methods has a strong dependence on the quality and quantity of training data

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
  • An audio classification method and system based on an SVM
  • An audio classification method and system based on an SVM
  • An audio classification method and system based on an SVM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0076] In the current multimedia information processing, audio occupies a very important position, but due to the characteristics of the media source itself and the constraints of existing technologies, the further analysis and utilization of audio information is limited.

[0077] Such as figure 1 As shown, the SVM-based audio classification method provided by the embodiment of the present invention includes:

[0078] In the method for extracting these characteristics of the audio, the characteristics of the audio are extracted by using the time domain characteristics and the frequency domain characteristics respectively; ...

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 belongs to the technical field of audio data analysis, and discloses an audio classification method and system based on an SVM. The audio automatic classification and segmentation is animportant means for extracting the structured information and semantic content from audio and is the basis for understanding, analyzing and retrieving the audio content. In essence, classification ofthe audio data is a pattern recognition problem and comprises two basic aspects of feature extraction selection and classification. How to extract the information most capable of representing audio signal characteristics from the audio signals is crucial for audio classification; the audio feature extraction can be based on an audio frame feature analysis and extraction method and an audio-based feature analysis and extraction method; and in a method of extracting these characteristics, characteristics of audio are extracted using time domain characteristics and frequency domain characteristics, respectively. An SVM-based audio classification algorithm has a good classification effect, and the smooth audio segmentation result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of audio data analysis, and in particular relates to an SVM-based audio classification method and system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Today's human society has entered the digital age. With the continuous development of computer technology, network technology, and communication technology, multimedia information such as images, videos, and audios has gradually become the main form of information media in the field of information processing. Among them, audio occupies a very important position. Audio is an important part of multimedia. Compared with images and videos, audio not only has unique characteristics, but also has a small amount of audio data and fast processing speed, which has attracted widespread attention. There are various forms of audio expression, meeting people's needs in life, work, entertainme...

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): G06K9/62G06F16/63
Inventor 韦鹏程姜娇周震
Owner CHONGQING UNIV OF EDUCATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap