Citation

Ong, Kah Liang and Lee, Chin Poo and Lim, Heng Siong (2022) Speech Emotion Classification with Deep Learning. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 43_ONG KAH LIANG_FIST.pdf - Submitted Version Restricted to Registered users only Download (621kB)

Abstract

Deep neural networks have been applied to speech emotion recognition. • Employed for automatic feature extraction from the audio signal in the related field. • Audio signals are essential to have the pre-processing step. • Quality of voice has a direct influence on the speech emotion recognition results. • Acoustic speech features. • Word, phoneme, phrase. • Spectral features. • Mel-frequency Cepstral Coefficients (MFCC).

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Deep learning, Machine learning
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	19 Dec 2022 04:01
Last Modified:	19 Dec 2022 04:01
URII:	http://shdl.mmu.edu.my/id/eprint/10907

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