Publication Details

Text Augmentation for Language Models in High Error Recognition Scenario

BENEŠ Karel and BURGET Lukáš. Text Augmentation for Language Models in High Error Recognition Scenario. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Brno: International Speech Communication Association, 2021, pp. 1872-1876. ISSN 1990-9772. Available from: https://www.isca-speech.org/archive/interspeech_2021/benes21_interspeech.html
Czech title
Augmentace textu pro jazykové modelování ve scénářích s vysokou chybovostí
Type
conference paper
Language
english
Authors
URL
Keywords

data augmentation, error simulation, language modeling, automatic speech recognition

Published
2021
Pages
1872-1876
Journal
Proceedings of Interspeech - on-line, vol. 2021, no. 8, ISSN 1990-9772
Proceedings
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Conference
22ND ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, Brno, CZ
Publisher
International Speech Communication Association
Place
Brno, CZ
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12606,
   author = "Karel Bene\v{s} and Luk\'{a}\v{s} Burget",
   title = "Text Augmentation for Language Models in High Error Recognition Scenario",
   pages = "1872--1876",
   booktitle = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
   journal = "Proceedings of Interspeech - on-line",
   volume = 2021,
   number = 8,
   year = 2021,
   location = "Brno, CZ",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2021-627",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12606"
}
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