Building Arabic Speech Recognition System Using HuBERT Model and Studying the Sources of Errors [Arabic]
This paper presents the development of a speech recognition system for the Arabic language that can handle continuous speech and a large number of words, independent of the speaker, using deep neural network models trained by self-supervised learning. The system was built using the HuBERT model, and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Higher Commission for Scientific Research
2025-01-01
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| Series: | Syrian Journal for Science and Innovation |
| Subjects: | |
| Online Access: | https://journal.hcsr.gov.sy/archives/1523 |
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