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

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Pubblicato in:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 28569-28588
Autore principale:	Hu, Qingqing
Altri autori:	Peng, Yiran, Zheng, Zhong
Pubblicazione:	Nature Publishing Group
Soggetti:	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
Accesso online:	Citation/Abstract Full Text Full Text - PDF
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