A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973106" target="_blank" >RIV/49777513:23520/24:43973106 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-archive.org/interspeech_2024/lehecka24_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2024/lehecka24_interspeech.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2024-472" target="_blank" >10.21437/Interspeech.2024-472</a>
Alternative languages
Result language
angličtina
Original language name
A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives
Original language description
In this paper, we are comparing monolingual Wav2Vec 2.0 models with various multilingual models to see whether we could improve speech recognition performance on a unique oral history archive containing a lot of mixed-language sentences. Our main goal is to push forward research on this unique dataset, which is an extremely valuable part of our cultural heritage. Our results suggest that monolingual speech recognition models are, in most cases, superior to multilingual models, even when processing the oral history archive full of mixed-language sentences from non-native speakers. We also performed the same experiments on the public CommonVoice dataset to verify our results. We are contributing to the research community by releasing our pre-trained models to the public.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/VJ01010108" target="_blank" >VJ01010108: Robust processing of recordings for operations and security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interspeech 2024
ISBN
—
ISSN
2308-457X
e-ISSN
2958-1796
Number of pages
5
Pages from-to
1285-1289
Publisher name
International Speech Communication Association (ISCA)
Place of publication
New York
Event location
Kos, Řecko
Event date
Sep 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001331850101086