Abstract
The aim of this paper is to describe the development of a speaker-independent continuous automatic Amazigh speech recognition system. The designed system is based on the Carnegie Mellon University Sphinx tools. In the training and testing phase an in house Amazigh_Alphadigits corpus was used. This corpus was collected in the framework of this work and consists of speech and their transcription of 60 Berber Moroccan speakers (30 males and 30 females) native of Tarifit Berber. The system obtained best performance of 92.89 % when trained using 16 Gaussian Mixture models.
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Notes
The Amazigh Speech Corpus was collected by students during two periods of three month: (Mars to Mai 2011 and 2012), within the framework of the graduate programs of the faculty Polydisciplinary of Nador, Morocco.
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We would like to thank people involved in the development of the Carnegie Mellon University Sphinx system and making it available as open source.
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Satori, H., ElHaoussi, F. Investigation Amazigh speech recognition using CMU tools. Int J Speech Technol 17, 235–243 (2014). https://doi.org/10.1007/s10772-014-9223-y
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DOI: https://doi.org/10.1007/s10772-014-9223-y