12 search results - page 1 / 3 » Structured discriminative models for noise robust continuous... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Recently there has been interest in structured discriminative models for speech recognition. In these models sentence posteriors are directly modelled, given a set of features ext...
TASLP
2011
13 years 3 days ago
2011
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...
NIPS
2001
13 years 6 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...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...