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LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition

Semantic-rich speech emotion recognition has a high degree of popularity in a range of areas. Speech emotion recognition aims to recognize human emotional states from utterances containing both acoustic and linguistic information. Since both textual and audio patterns play essential roles in speech...

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Detalles Bibliográficos
Autores principales: Liu, Feng, Shen, Si-Yuan, Fu, Zi-Wang, Wang, Han-Yang, Zhou, Ai-Min, Qi, Jia-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316084/
https://www.ncbi.nlm.nih.gov/pubmed/35885233
http://dx.doi.org/10.3390/e24071010