LINGUISTIC AND SOFTWARE CAPABILITIES OF AUDIO-TEXT CORPORATIONS

Authors

  • Mavluda Yangiboyevna Urazaliyeva Independent researcher at the National University of Uzbekistan Author

Keywords:

Voice corpus, spoken speech, phonetic analysis, annotation, ASR, artificial intelligence, corpus linguistics.

Abstract

This article discusses the linguistic and technological significance of audio corpora. The role of audio corpora in empirically studying the phonetic, prosodic, morphological, and syntactic features of spoken language is substantiated. Using the example of large audio corpora created in English, Russian, Turkish, and German, their role in research and the development of artificial intelligence systems is analyzed. The importance of annotation, metadata, and standardization issues in creating audio corpora is also shown.

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Published

2025-12-30

Issue

Vol. 1 No. 03 (2025): WBEL

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

LINGUISTIC AND SOFTWARE CAPABILITIES OF AUDIO-TEXT CORPORATIONS. (2025). World Bulletin of Education and Learning, 1(03), 578-587. https://worldbulletin.org/index.php/1/article/view/230