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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Development of Hausa Acoustic Model for Speech Recognition

Author 1: Umar Adam Ibrahim
Author 2: Moussa Mahamat Boukar
Author 3: Muhammad Aliyu Suleiman

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130559

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

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Abstract: Acoustic modeling is essential for enhancing the accuracy of voice recognition software. To build an automatic speech system and application for any language, building an acoustic model is essential. In this regard, this research is concerned with the development of the Hausa acoustic model for automatic speech recognition. The goal of this work is to design and develop an acoustic model for the Hausa language. This is done by creating a word-level phonemes dataset from the Hausa speech corpus database. Then implement a deep learning algorithm for acoustic modeling. The model was built using Convolutional Neural Network that achieved 83% accuracy. The developed model can be used as a foundation for the development and testing of the Hausa speech recognition system.

Keywords: Acoustic model; Hausa Phonemes; word level; CNN

Umar Adam Ibrahim, Moussa Mahamat Boukar and Muhammad Aliyu Suleiman, “Development of Hausa Acoustic Model for Speech Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130559

@article{Ibrahim2022,
title = {Development of Hausa Acoustic Model for Speech Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130559},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130559},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Umar Adam Ibrahim and Moussa Mahamat Boukar and Muhammad Aliyu Suleiman}
}


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