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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Yanan Shang, Tianqi Fu
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Elsevier 2024-12-01
Cyfres:Intelligent Systems with Applications
Pynciau:
Mynediad Ar-lein:http://www.sciencedirect.com/science/article/pii/S2667305324001108