Abstract
Several studies in the development of Automatic Speech Recognition (ASR) systems have been yet presented and well studied for many languages. However, the particularities of the Amazigh Language due to its specific acoustic features such as the emphasis on Amazigh consonants pose many problems for developing its automatic speech recognition system. In this paper, we deal with the spoken recognition’s problem in Amazigh Language. We consider here a particular case of the problem, focusing on the vowel-consonant transitions, by treating the recognition of phoneme level. We propose a derivative algorithm allowing the phoneme separation based on the difference between the energies of both consonants and vowels.
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Ouhnini, A., Aksasse, B., Ouanan, M. (2022). Phonemes Recognition Using Formant Analysis in the Case of Consonant Vowel Transition Case “Amazigh Language”. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_30
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DOI: https://doi.org/10.1007/978-3-030-90633-7_30
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