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ICASSP
2011
IEEE
12 years 9 months ago
A flexible Speech Distortion Weighted Multi-channel Wiener Filter for noise reduction in hearing aids
In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a fle...
Kim Ngo, Marc Moonen, Søren Holdt Jensen, J...
ICASSP
2009
IEEE
14 years 3 days ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
TASLP
2008
100views more  TASLP 2008»
13 years 4 months ago
Noise Tracking Using DFT Domain Subspace Decompositions
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...
ICASSP
2011
IEEE
12 years 9 months ago
Robust Bayesian Analysis applied to Wiener filtering of speech
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
Phil Spencer Whitehead, David V. Anderson
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
13 years 10 months ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris