45 search results - page 4 / 9 » WAPUSK20 - A Database for Robust Audiovisual Speech Recognit... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
In previous work we introduced a new missing data imputation method for ASR, dubbed sparse imputation. We showed that the method is capable of maintaining good recognition accurac...
ICASSP
2011
IEEE
12 years 10 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...
TASLP
2011
13 years 1 months 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 ...