Malay computer aided speech therapy using audio-fingerprint and visualization
Stuttering affects about one percent of the world's population. Speech therapy for stutterers involves extended interaction between the patient and a skilled speech therapist. Computer aided speech and language therapy (CASLT) help provide therapy for more patients. CASLT has two main phases as...
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my.utm.593622021-09-12T04:28:41Z http://eprints.utm.my/id/eprint/59362/ Malay computer aided speech therapy using audio-fingerprint and visualization Mat Zin, Nor Azan Banihashem, Seyed Yashar Mohd. Daud, Salwani Sheikh Abdullah, Siti Norul Huda Iida, Hiroyuki QA76 Computer software Stuttering affects about one percent of the world's population. Speech therapy for stutterers involves extended interaction between the patient and a skilled speech therapist. Computer aided speech and language therapy (CASLT) help provide therapy for more patients. CASLT has two main phases assignments of therapy to the stutterer and evaluation of progress. Current research has yet to address the progress evaluation phase. Therefore this research aims to develop an enhanced CASLT which can help user visualize his/her therapy progress. In this paper, we describe a computer aided Malay speech enhancer: a system that visualizes the speech therapy progress of stuttering Malay users. This system includes three main components. The Mel frequency cepstral coefficients, Vector quantization, and Hidden Markov model techniques are used to process the system’s audio signal. The student’s progress is visualized for him via extraction of his/her audio fingerprint. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/59362/1/SalwaniMohdDaud2015_MalayComputerAidedSpeechTherapy.pdf Mat Zin, Nor Azan and Banihashem, Seyed Yashar and Mohd. Daud, Salwani and Sheikh Abdullah, Siti Norul Huda and Iida, Hiroyuki (2015) Malay computer aided speech therapy using audio-fingerprint and visualization. In: 5th International Conference on Computing and Informatics, ICOCI 2015, 11-13 Aug 2015, Istanbul, Turkey. |
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QA76 Computer software Mat Zin, Nor Azan Banihashem, Seyed Yashar Mohd. Daud, Salwani Sheikh Abdullah, Siti Norul Huda Iida, Hiroyuki Malay computer aided speech therapy using audio-fingerprint and visualization |
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Stuttering affects about one percent of the world's population. Speech therapy for stutterers involves extended interaction between the patient and a skilled speech therapist. Computer aided speech and language therapy (CASLT) help provide therapy for more patients. CASLT has two main phases assignments of therapy to the stutterer and evaluation of progress. Current research has yet to address the progress evaluation phase. Therefore this research aims to develop an enhanced CASLT which can help user visualize his/her therapy progress. In this paper, we describe a computer aided Malay speech enhancer: a system that visualizes the speech therapy progress of stuttering Malay users. This system includes three main components. The Mel frequency cepstral coefficients, Vector quantization, and Hidden Markov model techniques are used to process the system’s audio signal. The student’s progress is visualized for him via extraction of his/her audio fingerprint. |
format |
Conference or Workshop Item |
author |
Mat Zin, Nor Azan Banihashem, Seyed Yashar Mohd. Daud, Salwani Sheikh Abdullah, Siti Norul Huda Iida, Hiroyuki |
author_facet |
Mat Zin, Nor Azan Banihashem, Seyed Yashar Mohd. Daud, Salwani Sheikh Abdullah, Siti Norul Huda Iida, Hiroyuki |
author_sort |
Mat Zin, Nor Azan |
title |
Malay computer aided speech therapy using audio-fingerprint and visualization |
title_short |
Malay computer aided speech therapy using audio-fingerprint and visualization |
title_full |
Malay computer aided speech therapy using audio-fingerprint and visualization |
title_fullStr |
Malay computer aided speech therapy using audio-fingerprint and visualization |
title_full_unstemmed |
Malay computer aided speech therapy using audio-fingerprint and visualization |
title_sort |
malay computer aided speech therapy using audio-fingerprint and visualization |
publishDate |
2015 |
url |
http://eprints.utm.my/id/eprint/59362/1/SalwaniMohdDaud2015_MalayComputerAidedSpeechTherapy.pdf http://eprints.utm.my/id/eprint/59362/ |
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13.15806 |