Paper Info
Title
The ICSI-SRI spring 2006 meeting recognition system
Abstract
We describe the development of the ICSI-SRI speech recognition system for the National Institute of Standards and Technology (NIST) Spring 2006 Meeting Rich Transcription (RT-06S) evaluation, highlighting improvements made since last year, including improvements to the delay-and-sum algorithm, the nearfield segmenter, language models, posterior-based features, HMM adaptation methods, and adapting to a small amount of new lecture data. Results are reported on RT-05S and RT-06S meeting data. Compared to the RT-05S conference system, we achieved an overall improvement of 4% relative in the MDM and SDM conditions, and 11% relative in the IHM condition. On lecture data, we achieved an overall improvement of 8% relative in the SDM condition, 12% on MDM, 14% on ADM, and 15% on IHM.
Year
DOI
Venue
2006
10.1007/11965152_39
MLMI
Keywords
Field
DocType
icsi-sri spring,national institute,hmm adaptation method,rt-05s conference system,new lecture data,rt-06s meeting data,icsi-sri speech recognition system,ihm condition,lecture data,overall improvement,meeting recognition system,sdm condition,speech recognition,near field,language model
Recognition system,Computer science,Word error rate,Speech recognition,Maximum likelihood linear regression,NIST,Artificial intelligence,Language model,Machine learning,Acoustic model
Conference
Volume
ISSN
ISBN
4299
0302-9743
3-540-69267-3
Citations 
PageRank 
References 
12
1.62
11
Authors
7
Name
Order
Citations
PageRank
Adam Janin125034.11
Andreas Stolcke26690712.46
Xavier Anguera362454.28
Kofi Boakye415513.64
Özgür Çetin515414.41
Joe Frankel631222.78
Jing Zheng744243.00