Speech recognition web services for Dutch
- Author
- Joris Pelemans, Kris Demuynck (UGent) , Hugo Van hamme and Patrick Wambacq
- Organization
- Abstract
- In this paper we present 3 applications in the domain of Automatic Speech Recognition for Dutch, all of which are developed using our in-house speech recognition toolkit SPRAAK. The speech-to-text transcriber is a large vocabulary continuous speech recognizer, optimized for Southern Dutch. It is capable to select components and adjust parameters on the fly, based on the observed conditions in the audio and was recently extended with the capability of adding new words to the lexicon. The grapheme-to-phoneme converter generates possible pronunciations for Dutch words, based on lexicon lookup and linguistic rules. The speech-text alignment system takes audio and text as input and constructs a time aligned output where every word receives exact begin and end times. All three of the applications (and others) are freely available, after registration, as a web application on http://www.spraak.org/webservice/ and in addition, can be accessed as a web service in automated tools.
- Keywords
- web services, Dutch, speech recognition
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-4404023
- MLA
- Pelemans, Joris, et al. “Speech Recognition Web Services for Dutch.” LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2014, pp. 3041–44.
- APA
- Pelemans, J., Demuynck, K., Van hamme, H., & Wambacq, P. (2014). Speech recognition web services for Dutch. LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 3041–3044.
- Chicago author-date
- Pelemans, Joris, Kris Demuynck, Hugo Van hamme, and Patrick Wambacq. 2014. “Speech Recognition Web Services for Dutch.” In LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 3041–44.
- Chicago author-date (all authors)
- Pelemans, Joris, Kris Demuynck, Hugo Van hamme, and Patrick Wambacq. 2014. “Speech Recognition Web Services for Dutch.” In LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 3041–3044.
- Vancouver
- 1.Pelemans J, Demuynck K, Van hamme H, Wambacq P. Speech recognition web services for Dutch. In: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. 2014. p. 3041–4.
- IEEE
- [1]J. Pelemans, K. Demuynck, H. Van hamme, and P. Wambacq, “Speech recognition web services for Dutch,” in LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, Reykjavik, Iceland, 2014, pp. 3041–3044.
@inproceedings{4404023,
abstract = {{In this paper we present 3 applications in the domain of Automatic Speech Recognition for Dutch, all of which are developed using our in-house speech recognition toolkit SPRAAK. The speech-to-text transcriber is a large vocabulary continuous speech recognizer, optimized for Southern Dutch. It is capable to select components and adjust parameters on the fly, based on the observed conditions in the audio and was recently extended with the capability of adding new words to the lexicon. The grapheme-to-phoneme converter generates possible pronunciations for Dutch words, based on lexicon lookup and linguistic rules. The speech-text alignment system takes audio and text as input and constructs a time aligned output where every word receives exact begin and end times. All three of the applications (and others) are freely available, after registration, as a web application on http://www.spraak.org/webservice/ and in addition, can be accessed as a web service in automated tools.}},
author = {{Pelemans, Joris and Demuynck, Kris and Van hamme, Hugo and Wambacq, Patrick}},
booktitle = {{LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION}},
isbn = {{978-2-9517408-8-4}},
keywords = {{web services,Dutch,speech recognition}},
language = {{eng}},
location = {{Reykjavik, Iceland}},
pages = {{3041--3044}},
title = {{Speech recognition web services for Dutch}},
year = {{2014}},
}