A review of Yorùbá Automatic Speech Recognition

Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application.Despite this progress, there still exist wide performance gap between human speech recognition (HSR) and ASR which has inhibited its full adoption in real life situation.A brief review of research...

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Main Authors: Mohd Yusof, Shahrul Azmi, Atanda, Abdulwahab F., Hariharan, M.
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/10737/1/06.pdf
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author Mohd Yusof, Shahrul Azmi
Atanda, Abdulwahab F.
Hariharan, M.
author_facet Mohd Yusof, Shahrul Azmi
Atanda, Abdulwahab F.
Hariharan, M.
author_sort Mohd Yusof, Shahrul Azmi
collection UUM
description Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application.Despite this progress, there still exist wide performance gap between human speech recognition (HSR) and ASR which has inhibited its full adoption in real life situation.A brief review of research progress on Yorùbá Automatic Speech Recognition (ASR) is presented in this paper focusing of variability as factor contributing to performance gap between HSR and ASR with a view of x-raying the advances recorded, major obstacles, and chart a way forward for development of ASR for Yorùbá that is comparable to those of other tone languages and of developed nations.This is done through extensive surveys of literatures on ASR with focus on Yorùbá.Though appreciable progress has been recorded in advancement of ASR in the developed world, reverse is the case for most of the developing nations especially those of Africa.Yorùbá like most of languages in Africa lacks both human and materials resources needed for the development of functional ASR system much less taking advantage of its potentials benefits. Results reveal that attaining an ultimate goal of ASR performance comparable to human level requires deep understanding of variability factors.
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spelling uum-107372020-11-02T02:22:23Z https://repo.uum.edu.my/id/eprint/10737/ A review of Yorùbá Automatic Speech Recognition Mohd Yusof, Shahrul Azmi Atanda, Abdulwahab F. Hariharan, M. QA76 Computer software Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application.Despite this progress, there still exist wide performance gap between human speech recognition (HSR) and ASR which has inhibited its full adoption in real life situation.A brief review of research progress on Yorùbá Automatic Speech Recognition (ASR) is presented in this paper focusing of variability as factor contributing to performance gap between HSR and ASR with a view of x-raying the advances recorded, major obstacles, and chart a way forward for development of ASR for Yorùbá that is comparable to those of other tone languages and of developed nations.This is done through extensive surveys of literatures on ASR with focus on Yorùbá.Though appreciable progress has been recorded in advancement of ASR in the developed world, reverse is the case for most of the developing nations especially those of Africa.Yorùbá like most of languages in Africa lacks both human and materials resources needed for the development of functional ASR system much less taking advantage of its potentials benefits. Results reveal that attaining an ultimate goal of ASR performance comparable to human level requires deep understanding of variability factors. 2013 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/10737/1/06.pdf Mohd Yusof, Shahrul Azmi and Atanda, Abdulwahab F. and Hariharan, M. (2013) A review of Yorùbá Automatic Speech Recognition. In: 3rd International Conference on System Engineering and Technology, 19 - 20 Aug. 2013, Shah Alam, Malaysia. http://dx.doi.org/10.1109/ICSEngT.2013.6650178 doi:10.1109/ICSEngT.2013.6650178 doi:10.1109/ICSEngT.2013.6650178
spellingShingle QA76 Computer software
Mohd Yusof, Shahrul Azmi
Atanda, Abdulwahab F.
Hariharan, M.
A review of Yorùbá Automatic Speech Recognition
title A review of Yorùbá Automatic Speech Recognition
title_full A review of Yorùbá Automatic Speech Recognition
title_fullStr A review of Yorùbá Automatic Speech Recognition
title_full_unstemmed A review of Yorùbá Automatic Speech Recognition
title_short A review of Yorùbá Automatic Speech Recognition
title_sort review of yoruba automatic speech recognition
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/10737/1/06.pdf
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