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Toward an automatic speech recognition system for amazigh-tarifit language

Authors
  • El Ouahabi, Safâa1
  • Atounti, Mohamed1
  • Bellouki, Mohamed1
  • 1 Polydisciplinary Faculty of Nador, Laboratory of Applied Mathematics and Information System, Nador, Morocco , Nador (Morocco)
Type
Published Article
Journal
International Journal of Speech Technology
Publisher
Springer US
Publication Date
Apr 29, 2019
Volume
22
Issue
2
Pages
421–432
Identifiers
DOI: 10.1007/s10772-019-09617-6
Source
Springer Nature
Keywords
License
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Abstract

This work aims at contributing to the Amazigh language Automatic Speech Recognition (ASR). We have studied and realized an automatic speech recognition system, using an environment totally based on the Amazigh-Tarifit language. In this framework, we have first constructed a new Amazigh-Tarifit speech corpus, which was used to assess and make the results of this work undergo a test. In fact, this paper has two objectives: The first one is to collect a Medium-Vocabulary Isolated Word speech corpus, which will serve as a corpus for the Amazigh speech researchers. The second target is to develop an Amazigh ASR system using this speech corpus (187 distinct isolated-words). The speech corpus was recorded by 50 individuals (25 males and 25 females) Amazigh-Tarifit native speakers. The system was evaluated on a speaker-independent approach. The tests were carried out basing essentially on two parameters: the Gaussian Mixture Distributions (GMM), and tied states (senones). The Word Error Rate (WER) achieved 8, 20%.

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