HYBRID HMM-BLSTM-BASED ACOUSTIC MODELING FOR AUTOMATIC SPEECH RECOGNITION ON QURAN RECITATION
<p align="justify"> Nowadays, many applications have been developed to help users to interact with the Quran. Some of them require an Automatic Speech Recognition (ASR) that can recognize the user's Quran recitation. Currently, acoustic modeling for the Qur'an speech recogn...
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Main Author: | THIRAFI (NIM :13514033), FAZA |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/27244 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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