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.

Библиографические подробности
Главные авторы:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Другие авторы:	Uddin, Jia
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2019
Предметы:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Online-ссылка:	http://hdl.handle.net/10361/12287

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