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Критерий гарантированного уровня значимости в задаче автоматической сегментации речевого сигнала
Радиотехника и электроника. 2020. Т. 65. № 11. С. 1101-1108.
Савченко В. В., Savchenko A.
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.
Keywords: speech processingобработка речисегментация речитеоретико-информационный подходtheory of informationspeech segmentation
Publication based on the results of:
Karpov N., Системы управления и информационные технологии 2012 Т. 48 № 2.1 С. 145-149
In this article analyzed some methods of speech quality estimation based on State Standard and Informational Theory of Speech Perception. Experimentally examine effectiveness and boundaries of free methods for speech parameterization and using it with deferent metrics. ...
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Savchenko A., Savchenko V., Savchenko L., Optimization Letters 2022 Vol. 16 No. 7 P. 2095-2113
This paper considers an assessment and evaluation of speech sound pronunciation quality in computer-aided language learning systems. We examine the gain optimization of spectral distortion measures between the speech signals of a native speaker and a learner. During training, a learner has to achieve stable pronunciation of all sounds. This is measured by computing the ...
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The article continues our previous work [V. V. Savchenko and A. V. Savchenko, Izmeritel’naya Tekhnika, No. 12, 46–52 (2019)]. We study the problem of automatic control of the quality of voice samples recorded and stored in the Unified Biometric System. We propose a solution of the problem of timely updates of the collected samples required ...
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М. : Издательский центр «Российский государственный гуманитарный университет», 2019
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