21 search results - page 2 / 5 » Switching Linear Dynamic Models for Noise Robust In-Car Spee... |
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper proposes a noise robust exemplar-based speech recognition system where noisy speech is modeled as a linear combination of a set of speech and noise exemplars. The metho...
CSL
2004
Springer
13 years 5 months ago
2004
Springer
9 A two-level mixture linear dynamic system model, with frame-level switching parameters in the obser10 vation equation and with segment-level switching parameters in the target-d...
ICASSP
2009
IEEE
14 years 24 days ago
2009
IEEE
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
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 ...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...