Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion

Karim M. Ibrahim; Antony Perzo; Simon Leglaive

doi:10.1109/icassp48485.2024.10445740

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JOURNAL ARTICLE

Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion

Karim M. Ibrahim Antony Perzo Simon Leglaive

Year: 2024 Pages: 10636-10640

DOI: 10.1109/icassp48485.2024.10445740

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Abstract

International audience

Keywords:

Computer science Emotion recognition Speech recognition Training set Speech synthesis Emotion classification Artificial intelligence Natural language processing

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Cited By

6.39

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

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

Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion

Abstract

Metrics

Citation History

Topics

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