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Suboptimal Algorithm for Measuring Pitch Frequency Using Discrete Fourier Transform of a Speech Signal

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract—

Starting from the definition of the main tone of the speaker’s speech as the minimum frequency of the linear power spectrum of the vocalized segments of the speech signal, an estimation of potentially achievable accuracy of its measurement under the action of background interference such as white Gaussian noise has been made. Based on this estimation, a suboptimal algorithm for measuring the pitch frequency using a short speech frame has been developed. The developed algorithm effectiveness is confirmed by the results of the experiment, during which the author’s software was used.

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Notes

  1. At the output of the whitening filter, a packet of signal components in the frequency region has a rectangular shape [9].

  2. The concept of the envelope of a fine structure of the speech signal power spectrum or its spectral envelope is widely used in the field of ASP and is described in detail, e.g., in [13].

  3. The program is placed in the open access mode on the website of the authors of the article at the link https://sites.google.com/ site/frompldcreators/produkty-1/phonemetraining.

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Funding

The work was supported by the Russian Science Foundation, project no. 20-71-10010.

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Authors and Affiliations

  1. Editorial Office of the Journal “Radio Engineering and Electronics”, 125009, Moscow, Russia

    V. V. Savchenko

  2. International Research University Higher School of Economics, 603155, Nizhny Novgorod, Russia

    L. V. Savchenko

Authors
  1. V. V. Savchenko
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  2. L. V. Savchenko
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Correspondence to V. V. Savchenko.

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The authors declare that they have no conflicts of interest.

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Translated by N. Petrov

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Savchenko, V.V., Savchenko, L.V. Suboptimal Algorithm for Measuring Pitch Frequency Using Discrete Fourier Transform of a Speech Signal. J. Commun. Technol. Electron. 68, 757–764 (2023). https://doi.org/10.1134/S1064226923060128

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