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.

Bibliographische Detailangaben
Hauptverfasser:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Weitere Verfasser:	Uddin, Jia
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	BRAC University 2019
Schlagworte:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Online Zugang:	http://hdl.handle.net/10361/12287

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