DuStt – a Speech-to-Text Engine for Dutch: Demo Abstract

Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowe

Research output: Chapter in Book/Report/Conference proceedingConference paper

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Abstract

We develop and demonstrate a speech-to-text engine for Dutch, starting from the open-source project DeepSpeech and using the Corpus Gesproken Nederlands. The DuStt engine provides models targeted towards Dutch, Flemish or speakers from both Belgium and The Netherlands. Users can upload or record their own input as well as load pre-recorded samples and obtain a transcription on the spot. The demonstration is video available at: https://youtu.be/DtTK0uo5W7s.
Original languageEnglish
Title of host publicationProceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019)
EditorsKatrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke
PublisherCEUR Workshop Proceedings
Number of pages2
Volume2491
ISBN (Electronic)1613-0073
Publication statusPublished - 6 Nov 2019
Event31st Benelux Conference on Artificial Intelligence - Les Ateliers Des Tanneurs, Brussels, Belgium
Duration: 6 Nov 20198 Nov 2019
Conference number: 2019
https://ai-synergies.be

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

Conference31st Benelux Conference on Artificial Intelligence
Abbreviated titleBNAIC
Country/TerritoryBelgium
CityBrussels
Period6/11/198/11/19
Internet address

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