Under-Represented Speech Dataset from Open Data: Case Study on the Romanian Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AU9ASJ3FY" target="_blank" >RIV/00216208:11320/25:U9ASJ3FY - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206580176&doi=10.3390%2fapp14199043&partnerID=40&md5=476c2e940fb6ecdc26782e719321a107" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206580176&doi=10.3390%2fapp14199043&partnerID=40&md5=476c2e940fb6ecdc26782e719321a107</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app14199043" target="_blank" >10.3390/app14199043</a>
Alternative languages
Result language
angličtina
Original language name
Under-Represented Speech Dataset from Open Data: Case Study on the Romanian Language
Original language description
This paper introduces the USPDATRO dataset. This is a speech dataset, in the Romanian language, constructed from open data, focusing on under-represented voice types (children, young and old people, and female voices). The paper covers the methodology behind the dataset construction, specific details regarding the dataset, and evaluation of existing Romanian Automatic Speech Recognition (ASR) systems, with different architectures. Results indicate that more under-represented speech content is needed in the training of ASR systems. Our approach can be extended to other low-resourced languages, as long as open data are available. © 2024 by the authors.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences (Switzerland)
ISSN
2076-3417
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
19
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1-13
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85206580176