INDONESIAN AUTOMATIC SPEECH RECOGNITION DEVELOPMENT USING TRANSFER LEARNING ON MASSIVELY MULTILINGUAL SPEECH (MMS) AND WHISPER
An ideal speech recognition model is capable of accurately transcribing speech across a variety of voice signal characteristics, such as speaking style (dictated and spontaneous), speech context (formal and informal), and background noise conditions (clean and moderate). Building a model from scr...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/78316 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |