Transformer-Based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965696" target="_blank" >RIV/49777513:23520/22:43965696 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16270-1_25" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16270-1_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_25" target="_blank" >10.1007/978-3-031-16270-1_25</a>

Result language
angličtina
Original language name
Transformer-Based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project
Original language description
Czech is a very specific language due to its large differences between the formal and the colloquial form of speech. While the formal (written) form is used mainly in official documents, literature, and public speeches, the colloquial (spoken) form is used widely among people in casual speeches. This gap introduces serious problems for ASR systems, especially when training or evaluating ASR models on datasets containing a lot of colloquial speech, such as the MALACH project. In this paper, we are addressing this problem in the light of a new paradigm in end-to-end ASR systems – recently introduced self-supervised audio Transformers. Specifically, we are investigating the influence of colloquial speech on the performance of Wav2Vec 2.0 models and their ability to transcribe colloquial speech directly into formal transcripts. We are presenting results with both formal and colloquial forms in the training transcripts, language models, and evaluation transcripts.
Czech name
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Czech description
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Project
<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings
ISBN
978-3-031-16269-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
301-312
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Brno, Czech Republic
Event date
Sep 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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