Speech Emotion Classification with Deep Learning


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 (Unpublished)

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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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