Transformer-based Speech Recognition Models for Oral History Archives in English, German, and Czech

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969686" target="_blank" >RIV/49777513:23520/23:43969686 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/interspeech_2023/lehecka23_interspeech.html" target="_blank" >https://www.isca-speech.org/archive/interspeech_2023/lehecka23_interspeech.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2023-872" target="_blank" >10.21437/Interspeech.2023-872</a>

Result language
angličtina
Original language name
Transformer-based Speech Recognition Models for Oral History Archives in English, German, and Czech
Original language description
This paper is a step forward in our effort to make vast oral history archives more accessible to the public and researchers by breaking down the decoding barriers between the knowledge encoded in the spoken testimonies and users who want to search for the information of their interest. We present new Transformer-based monolingual models suitable for speech recognition of oral history archives in English, German, and Czech. Our experiments show that although the all-purpose speech recognition systems have recently made tremendous progress, the transcription of oral history archives is still a challenging task for them; our tailored models significantly outperformed larger public multilingual models and scored new state-of-the-art results on all tested datasets. Due to the 2-phase fine-tuning process, our models are robust and can be used for oral history archives of various domains. We publicly release our models within a public speech recognition service.
Czech name
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Czech description
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Project
<a href="/en/project/GA22-27800S" target="_blank" >GA22-27800S: Transformers of multiple modalities for more natural spoken dialog</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISBN
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ISSN
2308-457X
e-ISSN
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Number of pages
5
Pages from-to
201-205
Publisher name
International Speech Communication Association
Place of publication
New York
Event location
Dublin, Ireland
Event date
Aug 20, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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