Iqro Reading Learning System through Speech Recognition Using Mel Frequency Cepstral Coefficient (MFCC) and Vector Quantization (VQ) Method

Nurhasanah, Youllia Indrawaty and AMELIA DEWI, IRMA and Saputro, Bagus Ade (2018) Iqro Reading Learning System through Speech Recognition Using Mel Frequency Cepstral Coefficient (MFCC) and Vector Quantization (VQ) Method. International Journal of Applied Information Technology, 2 (1). ISSN ISSN 2581-1223

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Official URL: http://journals.telkomuniversity.ac.id/ijait/artic...

Abstract

Historically, the study of Qur'an in Indonesia evolved along with the spread of Islam. Learning methods of reading the Qur'an have been found ranging from al-Baghdadi, al-Barqi, Qiraati, Iqro', Human, Tartila, and others, which can make it easier to learn to read the Qur'an. Currently, the development of speech recognition technology can be used for the detection of Iqro vol 3 reading pronunciations. Speech recognition consists of two general stages of feature extraction and speech matching. The feature extraction step is used to derive speechfeature and speech-matching stages to compare compatibility between test sound and train voice. The speech recognition method used to recognize Iqro readings is extracting speech signal features usingMel Frequency Cepstral Coefficient (MFCC) and classifying themusing Vector Quantization (VQ) to get the appropriate speech results. The result of testing for speech recognition system of Iqro reading has been tested for 30 peoples as a sample of data and there are 6 utterances indicating the information failed, so the system has a success rate of 80%.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Karya Tulis Ilmiah
Depositing User: Asep Kamaludin
Date Deposited: 09 Nov 2018 03:22
Last Modified: 09 Nov 2018 03:23
URI: http://eprints.itenas.ac.id/id/eprint/204

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