Gender dependent word-level emotion detection using global spectral speech features

In this study, global spectral features extracted from word and sentence levels are studied for speech emotion recognition. MFCC (Mel Frequency Cepstral Coefficient) were used as spectral information for recognition purpose. Global spectral features representing gross statistics such as mean of MFCC...

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Bibliographic Details
Main Author:	Siddique, Haris
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://etd.uum.edu.my/4518/1/s814534.pdf https://etd.uum.edu.my/4518/2/s814534_abstract.pdf https://etd.uum.edu.my/4518/
Abstract	Abstract here

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