APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN AUTOMATIC SPEECH RECOGNITION FOR QURAN
Current automatic speech recognition system for Quranic utterance has low accuracy when it is facing testing data that is different with training data, either different speakers or verses. In previous researches, HMM-GMM is a topology that is widely used to build acoustic model. In this research, pe...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/27958 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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