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Telephony speech system performance based on the codec effect

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Abstract

This paper is a part of our contribution to research on the enhancement of network automatic speech recognition system performance. We built a highly configurable platform by using hidden Markov models, Gaussian mixture models, and Mel frequency spectral coefficients, in addition to VoIP G.711-u and GSM codecs. To determine the optimal values for maximum performance, different acoustic models are prepared by varying the hidden Markov models (from 3 to 5) and Gaussian mixture models (8–16-32) with 13 feature extraction coefficients. Additionally, our generated acoustic models are tested by unencoded and encoded speech data based on G.711 and GSM codecs. The best parameterization performance is obtained for 3 HMM, 8–16 GMMs, and G.711 codecs.

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Data Availability

The speech database utilized in this study belongs to the laboratory and is its property.

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Authors and Affiliations

  1. Team of Modeling and Scientific Computing, FPN, UMP, Oujda, Morocco

    Mohamed Hamidi

  2. Department of Mathematics and Computer Science, LISAC, FSDM, USMBA, Fez, Morocco

    Ouissam Zealouk & Hassan Satori

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

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Hamidi, M., Zealouk, O. & Satori, H. Telephony speech system performance based on the codec effect. Ann. Telecommun. 78, 617–625 (2023). https://doi.org/10.1007/s12243-023-00968-5

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