34 search results - page 1 / 7 » Non-linear noise compensation for robust speech recognition ... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
NIPS
2001
13 years 5 months ago
2001
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
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...
ACL
2012
11 years 6 months ago
2012
This paper presents a probabilistic framework that combines multiple knowledge sources for Haptic Voice Recognition (HVR), a multimodal input method designed to provide efficient...
INTERSPEECH
2010
12 years 11 months ago
2010
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...