Improving Speech Emotion Recognition by Fusing Pre-trained and Acoustic Features Using Transformer and BiLSTM

Zheng Liu; Xin Kang; Fuji Ren

doi:10.1007/978-3-031-03948-5_28

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Improving Speech Emotion Recognition by Fusing Pre-trained and Acoustic Features Using Transformer and BiLSTM

Zheng Liu Xin Kang Fuji Ren

Year: 2022 IFIP advances in information and communication technology Pages: 348-357 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-03948-5_28

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Keywords:

Computer science Speech recognition Transformer Emotion recognition Tera- Acoustic model Artificial intelligence Speech corpus Feature (linguistics) Speech processing Natural language processing Speech synthesis Engineering

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2.11

FWCI (Field Weighted Citation Impact)

Refs

0.86

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Is in top 1%

Is in top 10%

Citation History

Topics

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Improving Speech Emotion Recognition by Fusing Pre-trained and Acoustic Features Using Transformer and BiLSTM

Metrics

Citation History

Topics

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