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» The Rich Transcription 2007 Meeting Recognition Evaluation
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ICASSP
2010
IEEE
13 years 6 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
ACL
2006
13 years 8 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
NAACL
1994
13 years 8 months ago
Multilingual Speech Databases at LDC
As multilingual products and technology grow in importance, the Linguistic Data Consortium (LDC) intends to provide the resources needed for research and development activities, e...
John J. Godfrey
ICASSP
2010
IEEE
13 years 6 months ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...
WWW
2005
ACM
14 years 7 months ago
Web-assisted annotation, semantic indexing and search of television and radio news
The Rich News system, that can automatically annotate radio and television news with the aid of resources retrieved from the World Wide Web, is described. Automatic speech recogni...
Mike Dowman, Valentin Tablan, Hamish Cunningham, B...