Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective

Ke Liu; Jiwei Wei; Jie Zou; Peng Wang; Yang Yang; Heng Tao Shen

doi:10.1109/tmm.2024.3410133

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Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective

Ke Liu Jiwei Wei Jie Zou Peng Wang Yang Yang Heng Tao Shen

Year: 2024 Journal: IEEE Transactions on Multimedia Vol: 26 Pages: 10623-10636 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tmm.2024.3410133

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Keywords:

Computer science Speech recognition Emotion recognition Perspective (graphical) Feature (linguistics) Feature extraction Speech processing Artificial intelligence Natural language processing Pattern recognition (psychology)

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3.83

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0.90

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Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective

Metrics

Citation History

Topics

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