Speech emotion recognition method

A speech emotion recognition and emotion technology, applied in speech analysis, instruments, etc., can solve the problems of low accuracy and low recognition rate, achieve high recognition rate, improve robustness, and accurately grasp the effects of emotional changes

Active Publication Date: 2021-09-17
青岛洞听智能科技有限公司
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of low recognition rate and low accuracy in the prior art, the present invention provides a speech emotion recognition method, which has high accuracy, recognition Features such as high rate

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
  • Speech emotion recognition method
  • Speech emotion recognition method
  • Speech emotion recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0031] refer to figure 1 The embodiment of the present invention shown provides a kind of speech emotion recognition method, specifically comprises the following steps:

[0032] 101. Obtain audio files containing dialogue recording content to construct a speech emotion database, and classify and store audio files based on preset emotion categories;

[0033] The voice emotion database can be constructed by obtaining conversation recordings between customer serv...

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 speech emotion recognition method. The method comprises the following steps: firstly, carrying out fragmentation operation on an input audio signal, then extracting features capable of expressing emotion information through an audio feature extraction method, and then carrying out calculation and preliminary splicing fusion on each feature by using a function; and inputting the fused features into the constructed one-dimensional convolutional neural network model for training and recognition. The defects of singleness and limited expression ability of a single feature are made up by adopting multi-feature fusion, and a method of re-fusing multiple expression emotion features can obtain speech emotion information from different angles and levels and perform more comprehensive description on the speech emotion information so that a system obtains a higher recognition rate, meanwhile, the system robustness is improved; and the emotion change can be mastered more accurately through audio signal fragmentation recognition, and the problem that the emotion change is ignored due to the fact that only the tag with the maximum probability is returned in whole audio recognition is avoided.

Description

technical field [0001] The invention belongs to the technical field of signal processing and pattern recognition, and in particular relates to a speech emotion recognition method. Background technique [0002] With the widespread application of deep learning in the field of artificial intelligence, artificially interactive intelligent robots used to play the role of customer service emerge in an endless stream, and people have begun to pay attention to whether to let robots perceive emotions. As we all know, human emotions are constantly changing, so in order to enable customer service robots to provide a comfortable interactive environment, eliminate obstacles between machines and humans and provide customers with better services, it is necessary for intelligent robots to understand customer emotional changes Yes, and the solution to this problem is Emotion Recognition. Changes in human emotions can cause changes in expression, behavior, body temperature, heart rate, voice...

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): G10L25/63G10L25/30G10L25/24G10L25/03
CPCG10L25/63G10L25/30G10L25/03G10L25/24
Inventor 刘远庆张玉腾初广辉
Owner 青岛洞听智能科技有限公司
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