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Amazigh digits through interactive speech recognition system in noisy environment

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Abstract

This paper describes the performance of Amazigh speech recognition via an interactive voice response in noisy conditions. The experiments were first conducted for the uncoded speech and then repeated for decoded speech in a noisy environment for different signal noise ratios (SNR). In this study, we analyze the effect of noise at different SNR levels on the ten first Amazigh digits which have collected from 22 Moroccan native speakers including both males and females. Our experiments results show that the degradation of accuracy was observed for all studied words by different degrees due to word components or the speech coding.

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Notes

  1. Wavesurfer: http://sourceforge.net/projects/wavesurfer/

  2. Sox Tool: http://sox.sourceforge.net/sox.html

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Authors and Affiliations

  1. LIIAN, Department of Mathematics and Computer Science, FSDM, USMBA, Fez, Morocco

    Mohamed Hamidi, Hassan Satori, Ouissam Zealouk & Khalid Satori

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  1. Mohamed Hamidi
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  2. Hassan Satori
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  3. Ouissam Zealouk
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  4. Khalid Satori
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Correspondence to Hassan Satori.

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Hamidi, M., Satori, H., Zealouk, O. et al. Amazigh digits through interactive speech recognition system in noisy environment. Int J Speech Technol 23, 101–109 (2020). https://doi.org/10.1007/s10772-019-09661-2

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