Low Resource Malay Dialect Automatic Speech Recognition Modeling Using Transfer Learning from a Standard Malay Model
Approaches to automatic speech recognition have transited from Hidden Markov Model (HMM)-based ASR to deep neural networks. The advantages of deep neural network approaches are that they can be developed quickly and perform better given large language resources. Nevertheless, dialect speech recognit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universiti Putra Malaysia Press
2024
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/45519/2/Low%20Resource%20Malay%20Dialect%20-%20Copy.pdf http://ir.unimas.my/id/eprint/45519/ http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-4578-2023 https://doi.org/10.47836/pjst.32.4.06 |
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