Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation

Sung-Lin Yeh; Yun-Shao Lin; Chi-Chun Lee

doi:10.21437/interspeech.2020-2524

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JOURNAL ARTICLE

Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation

Sung-Lin Yeh Yun-Shao Lin Chi-Chun Lee

Year: 2020 Pages: 536-540

DOI: 10.21437/interspeech.2020-2524

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Keywords:

Computer science Speech recognition End-to-end principle Adaptation (eye) Representation (politics) Emotion recognition Artificial intelligence Psychology

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0.79

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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

Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation

Metrics

Citation History

Topics

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