6 search results - page 1 / 2 » MMSE based noise PSD tracking with low complexity |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise ...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
TASLP
2008
13 years 4 months ago
2008
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes ...
APCCAS
2006
IEEE
13 years 10 months ago
2006
IEEE
— In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficult...