Speech Emotion Recognition Using Multi-Scale Global–Local Representation Learning with Feature Pyramid Network
Speech emotion recognition (SER) is important in facilitating natural human–computer interactions. In speech sequence modeling, a vital challenge is to learn context-aware sentence expression and temporal dynamics of paralinguistic features to achieve unambiguous emotional semantic understanding. In...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2024-12-01
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| Серія: | Applied Sciences |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2076-3417/14/24/11494 |
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