Speech Emotion Analysis of Netizens Based on Bidirectional LSTM and PGCDBN

Speech Emotion Analysis of Netizens Based on Bidirectional LSTM and PGCDBN

In recent years, the application of speech emotion recognition (SER) in the supervision of Internet public opinion has received increasing attention. This study proposes a new SER algorithm to analyze the public opinion information of network platforms. Firstly, we extract different spectrum feature...

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Bibliographic Details
Main Authors: Lei Yang, Kai Xie, Chang Wen, Jian-Biao He
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Speech emotion recognition
bidirectional LSTM
conditional deep belief network
particle swarm optimization
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/9404168/

Internet

https://ieeexplore.ieee.org/document/9404168/

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