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SPEECH
2010
136views more  SPEECH 2010»
13 years 9 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
TOCHI
1998
112views more  TOCHI 1998»
13 years 10 months ago
The Integrality of Speech in Multimodal Interfaces
A framework of complementary behavior has been proposed which maintains that direct manipulation and speech interfaces have reciprocal strengths and weaknesses. This suggests that...
Michael A. Grasso, David S. Ebert, Timothy W. Fini...
CSL
2010
Springer
13 years 11 months ago
Monaural speech separation and recognition challenge
Robust speech recognition in everyday conditions requires the solution to a number of challenging problems, not least the ability to handle multiple sound sources. The specific ca...
Martin Cooke, John R. Hershey, Steven J. Rennie
ICASSP
2011
IEEE
13 years 2 months ago
Rapid joint speaker and noise compensation for robust speech recognition
For speech recognition, mismatches between training and testing for speaker and noise are normally handled separately. The work presented in this paper aims at jointly applying sp...
K. K. Chin, Haitian Xu, Mark J. F. Gales, Catherin...
INTERSPEECH
2010
13 years 5 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose