Speech Corpora for Different Languages: A Systematic Review
Vladimir Igorevich Fedoseev1, Anton Aleksandrovich Konev1 & Natalia Sergeevna Repyuk1 Show affiliations
- Department of Complex Information Security of Computer Systems, Tomsk State University of Control Systems and Radio Electronics, Tomsk, Russia
Journal of Computer Science, Volume 22, Issue 1, pp. 9–24 · doi.org/10.3844/jcssp.2026.9.24
Abstract
The study of speech signals relies on carefully curated audio recordings, which are compiled and stored within specialized speech corpora. This article provides a comprehensive overview of such corpora across multiple languages, with particular focus on Russian, English, and Arabic. It notes that Russian and Arabic are represented by fewer corpora compared to the more extensive resources available for English. The discussion includes an examination of typical speech corpus structures, a description of standard parameters for characterizing corpora, and an outline of common metrics used to describe the speech signal itself.
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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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Fedoseev, V. I., Konev , A. A. & Repyuk, N. S. (2026). Speech Corpora for Different Languages: A Systematic Review. Journal of Computer Science, 22(1), 9–24. https://doi.org/10.3844/jcssp.2026.9.24
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