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...
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Elsevier
2024-12-01
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| סדרה: | Intelligent Systems with Applications |
| נושאים: | |
| גישה מקוונת: | http://www.sciencedirect.com/science/article/pii/S2667305324001108 |