PCA-BP-based emotion recognition method and system

Abstract

The embodiment of the invention discloses a PCA-BP-based emotion recognition method and system. The method comprises the steps that a first emotional sound spectrum feature vector of training audio isobtained by blending a first acoustic feature vector and a first sample entropy feature of the training audio; a PCA algorithm is adopted for conducting dimensionality reduction on the emotional sound spectrum feature vector, and a second emotional sound spectrum feature vector is obtained; the second emotional sound spectrum feature vectors of the training audio corresponding to various emotionsare input into a preset BP neural network model separately for training, and sound spectrum feature vector emotion models corresponding to various emotions are obtained; a second acoustic feature vector and a second sample entropy feature of to-be-detected audio are blended to obtain a third emotional sound spectrum feature vector of the to-be-detected audio, the third emotional sound spectrum feature vector is compared with all the acoustic feature vector emotion models, the emotion model matching degree is calculated, and the acoustic feature vector emotion model corresponding to the maximum emotion model matching degree is output. The technical problems that the current voice emotion recognition process is complex, the implement difficulty is high, the accuracy is low, and the efficiency is low are solved.

Description

technical field [0001] The invention relates to the technical field of emotion recognition, in particular to a method and system for emotion recognition based on PCA-BP. Background technique [0002] With the rapid development of computer technology, intelligence has penetrated more and more into people's lives, but in real life, the same speaker says the same sentence without emotion, and the listener can taste different meanings , people hope that the computer can not only confirm the speaker and speech recognition, but also recognize more advanced information such as semantics and emotions, so as to give corresponding feedback. [0003] Emotions refer to people's psychological experiences such as joy, anger, sorrow, joy, and fear, which are a reflection of people's attitudes towards objective things. Emotional information is a kind of information resource in speech information. Different from speech recognition technology, the emotion recognition system pays more attent...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a method and system for emotion recognition based on PCA-BP, which solves the technical problems of the current voice emotion recognition process, which are complex, difficult to implement, low in accuracy and low in efficiency.

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