Hu Q, Peng Y, & Zheng Z. (2025). A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis. Scientific Reports, 15(1), 28569-28569. https://doi.org/10.1038/s41598-025-14016-w
ISO-690 (author-date, English)HU Q, PENG Y und ZHENG Z, 2025. A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis. Scientific reports. 5 August 2025. Vol. 15, no. 1, p. 28569-28569. DOI 10.1038/s41598-025-14016-w.
Modern Language Association 9th editionHu Q, Peng Y, und Zheng Z. „A Deep Learning Framework for Gender Sensitive Speech Emotion Recognition Based on MFCC Feature Selection and SHAP Analysis.“. Scientific Reports, Bd. 15, Nr. 1, August 2025, S. 28569-, https://doi.org/10.1038/s41598-025-14016-w.
Mohr Siebeck - Recht (Deutsch - Österreich)Hu Q/Peng Y/Zheng Z: A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis., Scientific reports 2025, 28569-28569.
Emerald - HarvardHu Q, Peng Y und Zheng Z. (2025), „A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis.“, Scientific Reports, Vol. 15 No. 1, S. 28569-28569.