Abstract: Various studies inside the domain of research and the development of automatic speech recognition (ASR) technologies for several languages have not yet been published and thoroughly investigated. Nevertheless, the unique acoustic features of the Amazigh language, for example, Amazigh's consonant emphasis, pose many obstacles to the development of automatic speech recognition systems. In this study, we examine Amazigh language voice recognition. We treat the problem by focusing on transitions in vowel and consonant sounds and formant frequencies of phonemes. We present a hybrid strategy for phoneme separation based on energy differences. This includes analysis of consonant and vowel features, and identification methods based on formant analysis.

Ahmed Ouhnini, Brahim Aksasse and Mohammed Ouanan, “Towards an Automatic Speech-to-Text Transcription System: Amazigh Language” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140250

@article{Ouhnini2023,
title = {Towards an Automatic Speech-to-Text Transcription System: Amazigh Language},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140250},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140250},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Ahmed Ouhnini and Brahim Aksasse and Mohammed Ouanan}
}