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A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary

These days, voice to text recognition system based applications are growing progressively to deal with the daily life task. Many studies have been devised their voice to text systems in different languages. However, voice to text recognition system in the Sindhi language has not been devised yet. Wi...

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主要な著者: Khoso, Fida Hussain, Awan, Shafique Ahmed, Musavi, Syed Hyder Abbas, Talpur, Dhani Bux, Solangi, Ghulam Farooque, Ahmed, Hamza, Shah, Asadullah
フォーマット: 論文
言語:English
出版事項: Xi'an Petroleum Institute 2024
主題:
T10.5 Communication of technical information
オンライン･アクセス:http://irep.iium.edu.my/119400/7/119400_A%20novel%20Sindhi%20QoS%20aware%20framework.pdf
http://irep.iium.edu.my/119400/
https://www.xisdxjxsu.asia/viewarticle.php?aid=3501
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spelling my.iium.irep.1194002025-02-13T08:33:32Z http://irep.iium.edu.my/119400/ A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary Khoso, Fida Hussain Awan, Shafique Ahmed Musavi, Syed Hyder Abbas Talpur, Dhani Bux Solangi, Ghulam Farooque Ahmed, Hamza Shah, Asadullah T10.5 Communication of technical information These days, voice to text recognition system based applications are growing progressively to deal with the daily life task. Many studies have been devised their voice to text systems in different languages. However, voice to text recognition system in the Sindhi language has not been devised yet. With this motivation, in this paper, we propose Sindhi voice to text recognition system based on Hidden Markov Model (HMM). We devise a novel Sindhi Recognition System based on Hidden Markov Model (SRSHMM) and create a novel Sindhi dictionary to deal with users and their Quality of Service (QoS) requirements. The study formulates the combinatorial problem where minimum error-rate considered as a convex function and maximum accuracy formulated as a concave function. The objective of the study is to improve users input with different accents and enhance their accuracy and minimize the error rate. Simulation results show that, proposed SRS-HMM system gained near-optimal, e.g., 60% of different users with different accents during the performance. Xi'an Petroleum Institute 2024-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/119400/7/119400_A%20novel%20Sindhi%20QoS%20aware%20framework.pdf Khoso, Fida Hussain and Awan, Shafique Ahmed and Musavi, Syed Hyder Abbas and Talpur, Dhani Bux and Solangi, Ghulam Farooque and Ahmed, Hamza and Shah, Asadullah (2024) A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary. Journal of Xi’an Shiyou University, Natural Science Edition, 20 (8). pp. 624-639. ISSN 1673-064X https://www.xisdxjxsu.asia/viewarticle.php?aid=3501
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T10.5 Communication of technical information
spellingShingle T10.5 Communication of technical information
Khoso, Fida Hussain
Awan, Shafique Ahmed
Musavi, Syed Hyder Abbas
Talpur, Dhani Bux
Solangi, Ghulam Farooque
Ahmed, Hamza
Shah, Asadullah
A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
description These days, voice to text recognition system based applications are growing progressively to deal with the daily life task. Many studies have been devised their voice to text systems in different languages. However, voice to text recognition system in the Sindhi language has not been devised yet. With this motivation, in this paper, we propose Sindhi voice to text recognition system based on Hidden Markov Model (HMM). We devise a novel Sindhi Recognition System based on Hidden Markov Model (SRSHMM) and create a novel Sindhi dictionary to deal with users and their Quality of Service (QoS) requirements. The study formulates the combinatorial problem where minimum error-rate considered as a convex function and maximum accuracy formulated as a concave function. The objective of the study is to improve users input with different accents and enhance their accuracy and minimize the error rate. Simulation results show that, proposed SRS-HMM system gained near-optimal, e.g., 60% of different users with different accents during the performance.
format Article
author Khoso, Fida Hussain
Awan, Shafique Ahmed
Musavi, Syed Hyder Abbas
Talpur, Dhani Bux
Solangi, Ghulam Farooque
Ahmed, Hamza
Shah, Asadullah
author_facet Khoso, Fida Hussain
Awan, Shafique Ahmed
Musavi, Syed Hyder Abbas
Talpur, Dhani Bux
Solangi, Ghulam Farooque
Ahmed, Hamza
Shah, Asadullah
author_sort Khoso, Fida Hussain
title A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
title_short A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
title_full A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
title_fullStr A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
title_full_unstemmed A novel Sindhi QoS aware framework for speech recognition system based on designed dictionary
title_sort novel sindhi qos aware framework for speech recognition system based on designed dictionary
publisher Xi'an Petroleum Institute
publishDate 2024
url http://irep.iium.edu.my/119400/7/119400_A%20novel%20Sindhi%20QoS%20aware%20framework.pdf
http://irep.iium.edu.my/119400/
https://www.xisdxjxsu.asia/viewarticle.php?aid=3501
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score 13.251813

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