Speech emotion detection using supervised, unsupervised and feature selection algorithms

Speech emotion detection using supervised, unsupervised and feature selection algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Détails bibliographiques
Auteurs principaux:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Autres auteurs:	Uddin, Jia
Format:	Thèse
Langue:	English
Publié:	BRAC University 2019
Sujets:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Accès en ligne:	http://hdl.handle.net/10361/12287

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