The Recognition of Hijaiyah Letter Pronunciation Using Mel Frequency Cepstral Coefficients and Hidden Markov Model-Reference-Cited by-同舟云学术

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The Recognition of Hijaiyah Letter Pronunciation Using Mel Frequency Cepstral Coefficients and Hidden Markov Model

Published:2016-08-01 Issue:8 Volume:22 Page:2043-2046
ISSN:1936-6612
Container-title:Advanced Science Letters
language:en
Short-container-title:adv sci lett

Author:

Fauzi Rifan Muhamad¹,Adiwijaya .¹,Maharani Warih¹

Affiliation:

1. School of Computing, Telkom University, Bandung 40257, Indonesia

Publisher

American Scientific Publishers

Subject

General Energy,General Engineering,General Environmental Science,Education,General Mathematics,Health(social science),General Computer Science

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Hijaiyah Letter Handwriting Recognition Model Based on Deep Learning;2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS);2022-11-23

2. Research on the Influence of Different Feature Parameters on Speech Recognition Rate;2022 41st Chinese Control Conference (CCC);2022-07-25

3. Acoustic modelling using deep learning for Quran recitation assistance;International Journal of Speech Technology;2022-06-21

4. Audio–visual perception‐based multimodal HCI;The Journal of Engineering;2018-04

5. A classification of marked hijaiyah letters’ pronunciation using hidden Markov model;AIP Conference Proceedings;2017

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