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

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

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Abstract

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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Hidden Markov Model SRS-HMM Accent Training QoS.
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Asadullah Shah
Date Deposited:	13 Feb 2025 16:33
Last Modified:	13 Feb 2025 16:33
URI:	http://irep.iium.edu.my/id/eprint/119400

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