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

Audio classification and segmentation processing method based on support vector machine

A technology of support vector machine and processing method, applied in the field of machine learning, can solve the problems of limited analysis and utilization of audio information, and achieve the effect of good classification effect and accurate audio segmentation result.

Pending Publication Date: 2019-05-03
CHONGQING UNIV OF EDUCATION
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] To sum up, the problems existing in the existing technology are: 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 the existing technology, further analysis and utilization of audio information is limited

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
  • Audio classification and segmentation processing method based on support vector machine
  • Audio classification and segmentation processing method based on support vector machine
  • Audio classification and segmentation processing method based on support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] 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.

[0052] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0053] Such as figure 1 As shown, the processing method based on support vector machine audio classification and segmentation provided by the embodiment of the present invention includes the following steps:

[0054] S101: Divide the audio into six categories: mute, noise, music, background sound, pure voice and background sound;

[0055] S102: On the basis of the classification, a smoothing criterion is adopted, and the classification result is smoothed;

[0056] S103: The audio st...

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 machine learning, and discloses an audio classification and segmentation processing method based on a support vector machine. The audio automatic classification and segmentation are the important means for extracting structural information and semantic content in audio, and are the basis for understanding, analyzing and searching the audio content; the method comprises two aspects including audio classification and audio segmentation, and the classification method based on the support vector machine is adopted as the classification method; the support vector machine SVM is the main achievements of machine learning in recent years; and the SVM can solve the practical problems including small samples, nonlinearity, high dimension and the like and becomes one new hot spot for neural network research. In the segmentation method, the audio segmentation method with the bayesian information criterion is used for carrying out segmentation point confirmation. For the audio segmentation, different audio types are extracted from audio stream of audio classification, namely, the audio stream is divided according to the category of the timer shaft. The experiment proves that the audio classification algorithm based on the SVM has the good classification effect, and the smooth audio segmentation result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and in particular relates to a processing method for audio classification and segmentation based on a support vector machine. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: 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 n...

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
IPC IPC(8): G10L25/03G10L25/27G10L25/51G06K9/66G06K9/62
Inventor 韦鹏程赵宇彭亚飞
Owner CHONGQING UNIV OF EDUCATION
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