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.

Podrobná bibliografie
Hlavní autoři:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Další autoři:	Uddin, Jia
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	BRAC University 2019
Témata:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
On-line přístup:	http://hdl.handle.net/10361/12287

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