Voice-Based Emotion Identification Based on Mel Frequency Cepstral Coefficient Feature Extraction Using Self-Organized Maps and Radial Basis Function
Speech recognition is one of the most popular research fields, one of which is about emotion identification. Voice-based emotion identification is carried out to determine the pattern of emotions using the depth analysis mechanism of voice signal development and feature extraction that carries the e...
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| Main Authors: | Asrivatun Nikmah, Auli Damayanti, Edi Winarko |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2025-03-01
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| Series: | Contemporary Mathematics and Applications (ConMathA) |
| Online Access: | https://e-journal.unair.ac.id/CONMATHA/article/view/68246 |
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