About this paper

Appears in:
Pages: 4009-4016
Publication year: 2012
ISBN: 978-84-615-5563-5
ISSN: 2340-1079

Conference name: 6th International Technology, Education and Development Conference
Dates: 5-7 March, 2012
Location: Valencia, Spain

ARABIC SPEECH PRONUNCIATION RECOGNITION AND CORRECTION USING AUTOMATIC SPEECH RECOGNIZER (ASR)

H. Dahan1, A. Mannan2

1Sultan Idris Education University (MALAYSIA)
2University of Malaya (MALAYSIA)
Automatic articulation scoring makes the computer able to give feedback on the quality of pronunciation and eventually detect some phonemes miss-pronunciation. Computer-assisted language learning has evolved from simple interactive software that access the learner’s knowledge in grammar and vocabulary to more advanced systems that accept speech input as a result of the recent development of speech recognition. Therefore many computer based self teaching systems have been developed for several languages such English, Deutsch and Chinese, however for Arabic; the research is still in its beginning. This study is part of the “Arabic Pronunciation improvement system for Malaysian Teachers of Arabic language” project which aimed at developing computer based systems for standards Arabic language instruction for Malaysian teachers of Arabic language. The system aims to help teachers to learn Arabic language quickly by focusing on the listening and speaking comprehension (receptive skills) to improve their pronunciation. In this paper we addressed the problem of giving marks for Arabic pronunciation by using a Automatic Speech Recognizer (ASR) based on Hidden Markov Models (HMM), thus our approach to pronunciation scoring is based on the HMM log-likelihood probability.
@InProceedings{DAHAN2012ARA,
author = {Dahan, H. and Mannan, A.},
title = {ARABIC SPEECH PRONUNCIATION RECOGNITION AND CORRECTION USING AUTOMATIC SPEECH RECOGNIZER (ASR)},
series = {6th International Technology, Education and Development Conference},
booktitle = {INTED2012 Proceedings},
isbn = {978-84-615-5563-5},
issn = {2340-1079},
publisher = {IATED},
location = {Valencia, Spain},
month = {5-7 March, 2012},
year = {2012},
pages = {4009-4016}}
TY - CONF
AU - H. Dahan AU - A. Mannan
TI - ARABIC SPEECH PRONUNCIATION RECOGNITION AND CORRECTION USING AUTOMATIC SPEECH RECOGNIZER (ASR)
SN - 978-84-615-5563-5/2340-1079
PY - 2012
Y1 - 5-7 March, 2012
CI - Valencia, Spain
JO - 6th International Technology, Education and Development Conference
JA - INTED2012 Proceedings
SP - 4009
EP - 4016
ER -
H. Dahan, A. Mannan (2012) ARABIC SPEECH PRONUNCIATION RECOGNITION AND CORRECTION USING AUTOMATIC SPEECH RECOGNIZER (ASR), INTED2012 Proceedings, pp. 4009-4016.
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