Method for recognizing sound-groove based on affection compensation

A voiceprint recognition and emotion technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as less consideration of speech changes, achieve the effect of enhancing resistance, suppressing the impact of recognition performance, and expanding modeling information

Inactive Publication Date: 2008-07-23
ZHEJIANG UNIV
View PDF0 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional voiceprint recognition technology seldom considers voice changes caused by behavior changes

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
  • Method for recognizing sound-groove based on affection compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0008] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0009] The method of the present invention first detects the degree of deformation of emotional speech by emotion detection technology to calculate the emotional factor, and then compensates the speech changes caused by emotion at the model layer and the feature layer in the two stages of training and recognition, including: The expansion technology expands and modifies the voiceprint model; in the recognition stage, you can choose to use emotion weakening, regularization, and shielding technologies to standardize the voiceprint features. Finally, the robustness of voiceprint recognition technology to emotional changes is improved.

[0010] The specific implementation of the present invention is divided into two stages of training and recognition. The specific implementation methods are given in the following two stages of training and testing

[0011] 1. T...

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 relates to a sound-groove identification method based on emotion compensation. The emotion compensation includes three portions of emotion detection, character compensation and emotion expansion, comprising of calculating voice emotion factors to be according to the emotion detecting technique, compensating the voice change caused by emotion change respectively from the two layers of character and mode and finally improving robustness of the sound-groove identification technique to the emotion change. The invention has the advantages that the invention breaks through the inconsideration of sound-groove emotion change of the existing sound-groove identification technique, deals with the voice change caused by emotion change from the two layers of character and mode and strengthens resisting power to the voice emotion drift. The character layer standardizes the voice feature within the modeling ability of the training model by means of emotion degradation, normalization and barrier to reach the purpose of inhibiting the influence of the user emotion on the identification property. The mode layer obtains large scale emotion voices by employing the reverse way of synthesizing emotion voice by emotion changing rule, thereby greatly expanding the modeling information of the sound-groove model and resoling the difficulty of obtaining emotion data.

Description

technical field [0001] The invention relates to biometric feature recognition technology, and mainly relates to a voiceprint recognition method based on emotion compensation. Background technique [0002] Voiceprint recognition is a technology that automatically identifies the speaker's identity based on the voice parameters that reflect the speaker's physiological and behavioral characteristics in the voice waveform. In the past ten years, voiceprint recognition technology has made great progress, but it still faces a huge challenge in application: how to overcome the influence of the change of the speaker's own state on the recognition performance of the system. With the rise of digital entertainment, the gradual popularization of smart home appliances, and the increasingly ubiquitous computing, the friendliness and naturalness of human-computer interaction are particularly important. How to improve the effect of voiceprint technology on the emotional state changes of user...

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): G10L17/00G10L15/00G10L15/06G10L15/08G10L17/04G10L25/63
Inventor 杨莹春吴朝晖潘纲
Owner ZHEJIANG UNIV
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