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ICASSP
2011
IEEE
12 years 8 months ago
On the use of ideal binary masks for improving phonetic classification
Ideal binary masks are binary patterns that encode the masking characteristics of speech in noise. Recent evidence in speech perception suggests that such binary patterns provide ...
Arun Narayanan, DeLiang Wang
ICASSP
2011
IEEE
12 years 8 months ago
Investigations into the incorporation of the Ideal Binary Mask in ASR
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
William Hartmann, Eric Fosler-Lussier
INTERSPEECH
2010
12 years 11 months ago
Robust automatic speech recognition with decoder oriented ideal binary mask estimation
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson
NIPS
2003
13 years 6 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
IDEAL
2000
Springer
13 years 8 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén