IJAIT (International Journal of Applied Information Technology)
Vol 02 No 01 (May 2018)

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

Youllia Indrawaty Nurhasanah (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas), Bandung, West Java, Indonesia.)
Irma Amelia Dewi (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas), Bandung, West Java, Indonesia.)
Bagus Ade Saputro (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas), Bandung, West Java, Indonesia.)



Article Info

Publish Date
31 May 2018

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 speech-feature 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 using Mel Frequency Cepstral Coefficient (MFCC) and classifying them using 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%.

Copyrights © 2018






Journal Info

Abbrev

ijait

Publisher

Subject

Computer Science & IT

Description

International Journal of Applied Information Technology covers a broad range of research topics in information technology. The topics include, but are not limited to avionics, bio medical instrumentation, biometric, computer network design, cryptography, data compression, digital signal processing, ...