10 search results - page 1 / 2 » Maximum likelihood approach to speech enhancement for noisy ... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper proposes a speech enhancement method for signals contaminated by room reverberation and additive background noise. The following conditions are assumed: (1) The spectra...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
While state-of-the-art approaches obtain an estimate of the a priori SNR by adaptively smoothing its maximum likelihood estimate in the frequency domain, we selectively smooth the...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
Current state-of-the-art speech recognition systems work quite well in controlled environments but their performance degrades severely in realistic acoustical conditions in reverb...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose new algorithms for estimating autoregressive (AR), moving average (MA), and ARMA models in the spectral domain. These algorithms are derived from a maximum likelihood a...