Speech emotion recognition method

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...

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

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