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.

Bibliografiska uppgifter
Huvudupphovsmän:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Övriga upphovsmän:	Uddin, Jia
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	BRAC University 2019
Ämnen:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Länkar:	http://hdl.handle.net/10361/12287

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