Design of Efficient Speech Emotion Recognition Based on Multi Task Learning

Design of Efficient Speech Emotion Recognition Based on Multi Task Learning

Speech emotion recognition technology includes feature extraction and classifier construction. However, the recognition efficiency is reduced due to noise interference and gender differences. To solve this problem, this paper used two multi-task learning models based on adversarial multi-task learni...

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Bibliographic Details
Main Authors: Liu Yunxiang, Zhang Kexin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Speech emotion recognition
multi-task learning
noise reduction
eliminating gender differences
hidden layer sharing
data balance
Online Access:https://ieeexplore.ieee.org/document/10018195/

Internet

https://ieeexplore.ieee.org/document/10018195/

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