The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition
Abstract
A significant new speech corpus of British English has been recorded at Cambridge University. Derived from the Wall Street Journal text corpus, WSJCAMO constitutes one of the largest corpora of spoken British English currently in existence. It has been specifically designed for the construction and evaluation of speaker-independent speech recognition systems. The database consists of 140 speakers each speaking about 110 utterances. This paper describes the motivation for the corpus, the processes undertaken in its construction and the utilities needed as support tools. All utterance transcriptions have been verified and a phonetic dictionary has been developed to cover the training data and evaluation tasks. Two evaluation tasks have been defined using standard 5000 word bigram and 20000 word trigram language models. The paper concludes with comparative results on these tasks for British and American English.
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Cites
The design for the wall street journal-based CSR corpus
Paul, D. B., & Baker, J. M. (1992) · Proceedings of the workshop on Speech and Natural Language - HLT '91 · doi:10.3115/1075527.1075614 · Cited by 1,099
Automatic Speech and Speaker Recognition: Advanced Topics
Lee, C., Soong, F. K., & Paliwal, K. K. (1999) · CERN Document Server (European Organization for Nuclear Research) · Cited by 178
Cited by
Veaux, C., Yamagishi, J., & King, S. (2013) · 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE) · doi:10.1109/icsda.2013.6709856 · Cited by 398
Kinoshita, K., Delcroix, M., Gannot, S., P. Habets, E. A., Haeb-Umbach, R., Kellermann, W., Leutnant, V., Maas, R., Nakatani, T., Raj, B., et al. (2016) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-016-0306-6 · Cited by 357
Yamagishi, J., Usabaev, B., King, S., Watts, O., Dines, J., Tian, J., Guan, Y., Hu, R., Oura, K., Wu, Y.-J., et al. (2010) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/tasl.2010.2045237 · Cited by 78
Model adaptation and adaptive training for the recognition of dysarthric speech
Sehgal, S., & Cunningham, S. (2015) · Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies · doi:10.18653/v1/w15-5112 · Cited by 47
Metadata
- Authors
- Robinson, T., Fransen, J., Pye, D., Foote, J., & Renals, S.
- Venue
- 1995 International Conference on Acoustics, Speech, and Signal Processing
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 1
- Pages
- 81-84
- OpenAlex
- W2130722890
- Cited by
- 353
- References
- 2
- FWCI
- 3.81
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Robinson, T., Fransen, J., Pye, D., Foote, J., & Renals, S. (2002). WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition. 1995 International Conference on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/icassp.1995.479278
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