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
Autores principales: Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Otros Autores: Uddin, Jia
Formato: Tesis
Lenguaje:English
Publicado: BRAC University 2019
Materias:
SER
MFCC
Random forest
Gradient boosting
SVM
CNN
RFE
P-Value
PCA
Supervised learning (Machine learning)
Acceso en línea:http://hdl.handle.net/10361/12287

Internet

http://hdl.handle.net/10361/12287

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