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.

Detalles Bibliográficos
Main Authors: Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Outros autores: Uddin, Jia
Formato: Thesis
Idioma:English
Publicado: BRAC University 2019
Subjects:
SER
MFCC
Random forest
Gradient boosting
SVM
CNN
RFE
P-Value
PCA
Supervised learning (Machine learning)
Acceso en liña:http://hdl.handle.net/10361/12287

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