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Guaranteed Significance Level Criterion in Automatic Speech Signal Segmentation

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract—

The article considers the problem of automatic segmentation of a speech signal into phonetic units in conditions of their a priori uncertain spectral composition and correlation properties. A guaranteed significance level criterion is developed based on the information–theoretic approach. An example of practical application of this criterion is considered; a full-scale experiment is set up and conducted. It is shown that the proposed criterion can guarantee a stable significance level when processing speech frames of short duration.

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Notes

  1. A standard speech frame corresponds to the standard pitch period value (10 ms).

  2. See https://sites.google.com/site/frompldcreators/produkty-1/phonemetraining.

  3. See http://www.internationalphoneticalphabet.org/

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Funding

This study was carried out within the Basic Research Program of the National Research University Higher School of Economics (HSE).

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Authors and Affiliations

  1. Editorial Board of the Journal Radiotekhnika i Elektronika, 125009, Moscow, Russia

    V. V. Savchenko

  2. HSE University, Laboratory of Algorithms and Technologies for Networks Analysis, 603155, Nizhny Novgorod, Russia

    A. V. Savchenko

Authors
  1. V. V. Savchenko
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  2. A. V. Savchenko
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Corresponding authors

Correspondence to V. V. Savchenko or A. V. Savchenko.

Additional information

Translated by A. Ovchinnikova

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Savchenko, V.V., Savchenko, A.V. Guaranteed Significance Level Criterion in Automatic Speech Signal Segmentation. J. Commun. Technol. Electron. 65, 1311–1317 (2020). https://doi.org/10.1134/S1064226920110157

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  • DOI: https://doi.org/10.1134/S1064226920110157

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