INDONESIAN SPONTANEOUS SPEECH RECOGNITION SYSTEM USING DEEP NEURAL NETWORKS
The existing Indonesian speech recognition system has an accuracy that is still not good for spontaneous speech recognition. The system was trained using the HMM-GMM acoustic model. In this study, spontaneous speech data collected in Indonesian with a duration of 14 hours and speech recognition syst...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/48149 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |