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 Interspeech 2021. 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 Interspeech 2021
Conference
22ND ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, Brno, CZ
Publisher
International Speech Communication Association
Place
Brno, CZ
DOI
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 Interspeech 2021",
   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"
}
Back to top