ADDING LANGUAGE MODEL AND AUTOMATICALLY ADAPTING ACOUSTIC MODEL IN AN INDONESIAN SPEECH RECOGNITION SYSTEM BASED ON SELF-SUPERVISED MODEL USING LIMITED SPEECH CORPUS
The accuracy of current speech recognition models has reached human-level performance, but they are only available for fewer than 100 of the approximately 7,000 languages in the world. This is because developing an accurate speech recognition model requires training on large speech datasets with...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85319 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |