CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0199996" target="_blank" >RIV/00216305:26230/26:0199996 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-archive.org/interspeech_2025/yan25c_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2025/yan25c_interspeech.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/interspeech.2025-2247" target="_blank" >10.21437/interspeech.2025-2247</a>
Alternative languages
Result language
angličtina
Original language name
CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Original language description
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4 test sets which cover in total 113 unique codeswitched language pairs across 52 languages: 1) a 14 X-English language pair set with real voices reading synthetically generated code-switched sentences, 2) a 16 X-English language pair set with generative text-to-speech 3) a 60 {Arabic, Mandarin, Hindi, Spanish}-X language pair set with the generative text-to-speech, and 4) a 45 X-English lower-resourced language pair test set with concatenative text-to-speech. Besides the four test sets, CS-FLEURS also provides a training set with 128 hours of generative text-to-speech data across 16 X-English language pairs. Our hope is that CS-FLEURS helps to broaden the scope of future code-switched speech research.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISBN
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ISSN
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e-ISSN
2958-1796
Number of pages
5
Pages from-to
743-747
Publisher name
ISCA
Place of publication
Rotterdam, Nizozemí
Event location
Rotterdam
Event date
Aug 17, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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