| Issue |
E3S Web Conf.
Volume 412, 2023
International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023)
|
|
|---|---|---|
| Article Number | 01064 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/e3sconf/202341201064 | |
| Published online | 17 August 2023 | |
Comparative Study of Amazigh Speech Recognition Systems Based on Different Toolkits and Approaches
1 Laboratory of Applied Mathematics and Information Systems, Multidisciplinary Faculty of Nador, Mohamed First University Oujda, Morocco
2 SOVIA team, LSA, National School of Applied Sciences Hoceima, Abdelmalek Essaadi University of Tangier, 90000, Tangier, Morocco
The objective of this study is to evaluate and contrast the performance of different ASR approaches applied to the Amazigh language. Markovian modelling techniques, including Hidden Markov Models with Gaussian mixture distribution, Convolutional Neural Network, size of vocabulary, and lastly, the choice of decoder, whether Sphinx or HTK, by conducting a comprehensive analysis and comparison of these factors, this paper aims to provide valuable insights into the development of effective ASR systems for the Amazigh language. The findings will contribute to advancing the field of Amazigh ASR and aid in the selection of appropriate techniques and tools for future research and development efforts.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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