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Interactive Voice Application-Based Amazigh Speech Recognition

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Embedded Systems and Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

This paper aims to build an interactive speaker-independent automatic Amazigh speech recognition system. The proposed system offers a methodology to extract data remotely from a distance database using the combined interactive voice response (IVR) and automatic speech recognition (ASR) technologies. We describe our experience to design an interactive speech system based on hidden Markov models (HMMs), Gaussian mixture models (GMMs) and Mel frequency spectral coefficients (MFCCs) based on ten first Amazigh digits and six Amazigh words. The best-obtained performance is 89.64% by using 3 HMMs and 16 GMMs.

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Author information

Authors and Affiliations

  1. LIIAN Laboratory, FSDM, USMBA, Fez, Morocco

    Mohamed Hamidi, Hassan Satori, Ouissam Zealouk & Khalid Satori

Authors
  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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Corresponding author

Correspondence to Mohamed Hamidi .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Computer Sciences, Faculty of Sciences Dhar Mahraz, Sidi Mohammed Ben Abbdallah University, Fez, Morocco

    Hassan Satori

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Hamidi, M., Satori, H., Zealouk, O., Satori, K. (2020). Interactive Voice Application-Based Amazigh Speech Recognition. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_26

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