Abstract
The construction of acoustic models of a language, used in automatic speech recognition (ASR) systems, is a developed technology achievable without great difficulty when a large amount of speech and written corpus is available. However, these technological resources are not available in a large part of languages called “Less Resourced Languages”. An alternative solution is to take advantage of the phonetic structures shared between the different languages to build an acoustic model for the target language.
In this paper, we will return to an experiment in this direction. Indeed, we used an acoustic model of the Arabic language to create one for the Amazigh language. The originality of our work comes from the will to address this language which has become an official language in Morocco, and which has not enough resources for the automatic speech recognition. In addition, both languages share several phonemes and certain characteristics. The realized system has reached a recognition rate of about 73% by word. The potential and the effectiveness of the proposed approach is demonstrated by experiments and comparison with other approaches.
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Sadiqui, A., Zinedine, A. (2018). Towards a Speech Recognizer for Multiple Languages Using Arabic Acoustic Model Application to Amazigh Language. In: Lachkar, A., Bouzoubaa, K., Mazroui, A., Hamdani, A., Lekhouaja, A. (eds) Arabic Language Processing: From Theory to Practice. ICALP 2017. Communications in Computer and Information Science, vol 782. Springer, Cham. https://doi.org/10.1007/978-3-319-73500-9_5
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DOI: https://doi.org/10.1007/978-3-319-73500-9_5
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