Multimodal fusion: A study on speech-text emotion recognition with the integration of deep learning
Recognition of various human emotions holds significant value in numerous real-world scenarios. This paper focuses on the multimodal fusion of speech and text for emotion recognition. A 39-dimensional Mel-frequency cepstral coefficient (MFCC) was used as a feature for speech emotion. A 300-dimension...
| Autores principales: | , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Elsevier
2024-12-01
|
| Colección: | Intelligent Systems with Applications |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2667305324001108 |