Speech Corpora for Different Languages: A Systematic Review

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Authors: Vladimir Igorevich Fedoseev, Anton Aleksandrovich Konev, Natalia Sergeevna Repyuk
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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.

Fields of Study & Subjects

Speech Recognition and Synthesis Speech and Audio Processing Linguistic Studies and Language Acquisition

Publication details

Journal / source
Journal of Computer Science
Volume
22
Issue
1
Pages
9–24
Publication date
1 January 2026