A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis

Guardado en:

Detalles Bibliográficos
Publicado en:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 28569-28588
Autor principal:	Hu, Qingqing
Otros Autores:	Peng, Yiran, Zheng, Zhong
Publicado:	Nature Publishing Group
Materias:	Physiology Language Accuracy Happiness Artificial intelligence Gender Feature selection Speech Machine translation Long short-term memory Emotions Deep learning Voice recognition Neural networks Support vector machines Classification Algorithms Natural language processing Information processing Computers Females Males Economic
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!