Speech Recognition in the Broadcast News Domain

DOI: https://doi.org/10.18690/analipazu.1.1.54-56.2011
Keywords: speech recognition, highly inflective language, language resources

Abstract

In this paper the structure of a speech recognition system is presented. We focus on Slovenian speech recognition.  UMB BN system is described. Currently, it is the most complex large vocabulary continuous speech recognition system for Slovenian language. It is designed for transcribing TV-news shows. In the paper language resources are also described being crucial in developing such systems.

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Author Biographies

Mirjam Sepesy Maučec, Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor / Smetanova 17, 2000 Maribor, Slovenia.

Maribor, Slovenia. E-mail: mirjam.sepesy@um.si

Andrej Žgank , Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor / Smetanova 17, 2000 Maribor, Slovenia.

Maribor, Slovenia. E-mail: andrej.zgank@uni-mb.si

Published
2022-05-03
How to Cite
Sepesy Maučec M., & Žgank A. (2022). Speech Recognition in the Broadcast News Domain. Anali PAZU, 1(1), 54-56. https://doi.org/10.18690/analipazu.1.1.54-56.2011
Issue
Vol 1 No 1 (2011): ANALI PAZU
Section
Prispevki