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H. Huang, and C. Kyriakakis, "Blind Dereverberation of Audio Signals Using a Modified Constant Modulus Algorithm," Paper 6974, (2006 October.). doi: H. Huang, and C. Kyriakakis, "Blind Dereverberation of Audio Signals Using a Modified Constant Modulus Algorithm," Paper 6974, (2006 October.). doi:
Abstract: The single-channel blind dereverberation approach we present in this paper is an extension to the one based on Constant Modulus Algorithm (CMA) we proposed in previous work. By substituting the Modified CMA algorithm for the original CMA algorithm, we demonstrate a more suitable approach for blind deconvolution of reverberant audio signals with super-Gaussian distribution. To further improve the performance, the Modified CMA is applied to the LP residual instead of the time domain signal because of the flatter spectrum provided by the Linear Prediction (LP) residual approach. In real implementations, a Delayless Subband Adaptive Filtering (DSAF) architecture is also combined with CMA to further reduce the computational complexity. Experimental results show that our modified method outperforms previous approaches in audio signal blind dereverberation.

@article{huang2006blind,
author={huang, hesu and kyriakakis, chris},
journal={journal of the audio engineering society},
title={blind dereverberation of audio signals using a modified constant modulus algorithm},
year={2006},
volume={},
number={},
pages={},
doi={},
month={october},} @article{huang2006blind,
author={huang, hesu and kyriakakis, chris},
journal={journal of the audio engineering society},
title={blind dereverberation of audio signals using a modified constant modulus algorithm},
year={2006},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={the single-channel blind dereverberation approach we present in this paper is an extension to the one based on constant modulus algorithm (cma) we proposed in previous work. by substituting the modified cma algorithm for the original cma algorithm, we demonstrate a more suitable approach for blind deconvolution of reverberant audio signals with super-gaussian distribution. to further improve the performance, the modified cma is applied to the lp residual instead of the time domain signal because of the flatter spectrum provided by the linear prediction (lp) residual approach. in real implementations, a delayless subband adaptive filtering (dsaf) architecture is also combined with cma to further reduce the computational complexity. experimental results show that our modified method outperforms previous approaches in audio signal blind dereverberation.},}

TY - paper
TI - Blind Dereverberation of Audio Signals Using a Modified Constant Modulus Algorithm
SP - EP -
AU - Huang, Hesu
AU - Kyriakakis, Chris
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2006 TY - paper
TI - Blind Dereverberation of Audio Signals Using a Modified Constant Modulus Algorithm
SP - EP -
AU - Huang, Hesu
AU - Kyriakakis, Chris
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2006
AB - The single-channel blind dereverberation approach we present in this paper is an extension to the one based on Constant Modulus Algorithm (CMA) we proposed in previous work. By substituting the Modified CMA algorithm for the original CMA algorithm, we demonstrate a more suitable approach for blind deconvolution of reverberant audio signals with super-Gaussian distribution. To further improve the performance, the Modified CMA is applied to the LP residual instead of the time domain signal because of the flatter spectrum provided by the Linear Prediction (LP) residual approach. In real implementations, a Delayless Subband Adaptive Filtering (DSAF) architecture is also combined with CMA to further reduce the computational complexity. Experimental results show that our modified method outperforms previous approaches in audio signal blind dereverberation.