Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier.
Speech emotion recognition (SER) has always been a popular yet challenging task with broad applications in areas such as social media communication and medical diagnostics. Due to the characteristics of speech emotion recognition dataset, which often have small data volumes and high complexity, effe...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318297 |
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