Research on Speech Emotion Recognition Analysis Based on Deep Learning-Reference-Cited by-同舟云学术

Research on Speech Emotion Recognition Analysis Based on Deep Learning

Published:2023-03-17 Issue:1 Volume:3 Page:60-64
ISSN:2832-6024
Container-title:Frontiers in Computing and Intelligent Systems
language:
Short-container-title:FCIS

Author:

Yin Ailiang,Li Chunhao

Abstract

This paper combines two aspects of feature selection and building deep neural networks to carry out targeted research to improve recognition accuracy. Firstly, speech preprocessing techniques are introduced to extract the speech spectrogram and lay the foundation for building the speech emotion recognition network model study. The focus is on building a speech emotion recognition network model based on residual network improvement and comparing experiments with AlexNet model network and ResNet-18 network model.

Publisher

Darcy & Roy Press Co. Ltd.

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