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Automatic Speech Recognition Analysis Over Wireless Networks

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Intelligent Data Engineering and Analytics (FICTA 2022)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 327))

Abstract

In this paper, the effects on speech recognition performance by the speech coders are presented. We evaluate our Amazigh speech recognition system through wireless network based on a configurable platform that was created by combining both automatic speech recognition and IVR technologies. Different parameters are used such as VoIP audio codecs, hidden Markov models (HMMs) and Gaussian mixture models (GMMs). The system is trained and tested on ten first digits by collecting data from 24 speakers native of Tarifit. On the other hand, the VoIP codecs used in this work are G.711, GSM and Speex depending on the SIP protocol. Our results show that the best performance is 84.14% achieved by using the GSM audio codec.

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Author information

Authors and Affiliations

  1. Multimedia and Arts Department, FLLA, UIT, Kenitra, Morocco

    Mohamed Hamidi

  2. Advanced Systems Engineering Laboratory (ISA), ENSA, UIT, Kenitra, Morocco

    Mohamed Hamidi

  3. LISAC, FSDM, USMBA, Fez, Morocco

    Ouissam Zealouk & Hassan Satori

Authors
  1. Mohamed Hamidi
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  2. Ouissam Zealouk
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  3. Hassan Satori
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Corresponding author

Correspondence to Mohamed Hamidi .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Science and Technology, Middlesex University London, London, UK

    Xin-She Yang

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala, West Tripura, India

    Ranjita Das

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hamidi, M., Zealouk, O., Satori, H. (2023). Automatic Speech Recognition Analysis Over Wireless Networks. In: Bhateja, V., Yang, XS., Chun-Wei Lin, J., Das, R. (eds) Intelligent Data Engineering and Analytics. FICTA 2022. Smart Innovation, Systems and Technologies, vol 327. Springer, Singapore. https://doi.org/10.1007/978-981-19-7524-0_44

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