Identification of Letters Hijaiyah Pronunciation Using Neural Network (Backpropagation) and Pre-Processing of Mel-Frequency Cepstral Coefficient

Rahmania, Wafira and Arini, Arini and Setyaningrum, Anif and Purnomosidi, Arie and Rusydi, Muhammad (2020) Identification of Letters Hijaiyah Pronunciation Using Neural Network (Backpropagation) and Pre-Processing of Mel-Frequency Cepstral Coefficient. In: Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology, ICONQUHAS & ICONIST, Bandung, October 2-4, 2018, Indon.

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Abstract

To avoid mistakes in pronouncing hijaiyah letters. The writer applies mel-frequency cepstral coefficient to extract and will yield characteristic value of voice signal. Implementation of Artificial Neural Networks (Backpropagation) is used for classification on the identification of 8 letters of hij

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 13:16
Last Modified: 17 Apr 2026 11:18
URI: http://eprints.eai.eu/id/eprint/28982

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