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ICASSP
2008
IEEE
14 years 3 months ago
Weighted maximum likelihood autoregressive and moving average spectrum modeling
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...
Roland Badeau, Bertrand David
ICASSP
2011
IEEE
13 years 8 days ago
A novel algorithm of seeking FrFT order for speech processing
The determination of the optimal fractional Fourier transform (FrFT) order is a crucial issue for FrFT. This paper introduces a novel algorithm is proposed for the estimation of F...
Duo-jia Ma, Xiang Xie, Jingming Kuang
TASLP
2008
104views more  TASLP 2008»
13 years 8 months ago
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
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 ...
Jan S. Erkelens, Richard Heusdens
ICASSP
2010
IEEE
13 years 8 months ago
MMSE based noise PSD tracking with low complexity
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...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
TASLP
2008
100views more  TASLP 2008»
13 years 8 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...