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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक:	Siddique, Haris
स्वरूप:	Dissertation
भाषा:	अंग्रेज़ी अंग्रेज़ी
प्रकाशित:	2015
विषय:	QA75 Electronic computers. Computer science
ऑनलाइन पहुंच:	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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