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Adaptive Signal Processing Method for Speech Organ Diagnostics

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Measurement Techniques Aims and scope

An Erratum to this article was published on 01 September 2016

Evaluation results of the developed method are presented. The mean energy value of the Hilbert spectrum of a speech signal obtained by the complementary ensemble empirical mode decomposition and the Hilbert–Huang transform is shown in different ranges depending on the choice of phrases formed by separate active organs of the speech apparatus.

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Authors and Affiliations

  1. Penza State University, Penza, Russia

    A. Yu. Tychkov, A. K. Alimuradov & P. P. Churakov

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  1. A. Yu. Tychkov
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  2. A. K. Alimuradov
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  3. P. P. Churakov
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Correspondence to A. Yu. Tychkov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 5, pp. 26–29, May, 2016.

An erratum to this article can be found at http://dx.doi.org/10.1007/s11018-016-1030-1.

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Tychkov, A.Y., Alimuradov, A.K. & Churakov, P.P. Adaptive Signal Processing Method for Speech Organ Diagnostics. Meas Tech 59, 485–490 (2016). https://doi.org/10.1007/s11018-016-0994-1

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