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H. Huang, and C. Kyriakakis, "Computationally Efficient Blind Dereverberation of Audio Signals," Paper 6214, (2004 October.). doi: H. Huang, and C. Kyriakakis, "Computationally Efficient Blind Dereverberation of Audio Signals," Paper 6214, (2004 October.). doi:
Abstract: Convolutive noise in terms of reverberation can significantly degrade the quality and intelligibility of the real-world audio recordings. To reduce this type of acoustic noise, we propose a single-microphone dereverberation method based on Constant Modulus Algorithm (CMA) - a blind deconvolution technique. In particular, a new Non-causal Delayless Subband Filtering architecture is designed and combined with CMA to reduce the computational complexity of the overall system. Experimental results show that our method presents a comparable performance to fullband CMA, but with less computational cost in dereverberating audio signals.

@article{huang2004computationally,
author={huang, hesu and kyriakakis, chris},
journal={journal of the audio engineering society},
title={computationally efficient blind dereverberation of audio signals},
year={2004},
volume={},
number={},
pages={},
doi={},
month={october},} @article{huang2004computationally,
author={huang, hesu and kyriakakis, chris},
journal={journal of the audio engineering society},
title={computationally efficient blind dereverberation of audio signals},
year={2004},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={convolutive noise in terms of reverberation can significantly degrade the quality and intelligibility of the real-world audio recordings. to reduce this type of acoustic noise, we propose a single-microphone dereverberation method based on constant modulus algorithm (cma) - a blind deconvolution technique. in particular, a new non-causal delayless subband filtering architecture is designed and combined with cma to reduce the computational complexity of the overall system. experimental results show that our method presents a comparable performance to fullband cma, but with less computational cost in dereverberating audio signals.},}

TY - paper
TI - Computationally Efficient Blind Dereverberation of Audio Signals
SP - EP -
AU - Huang, Hesu
AU - Kyriakakis, Chris
PY - 2004
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2004 TY - paper
TI - Computationally Efficient Blind Dereverberation of Audio Signals
SP - EP -
AU - Huang, Hesu
AU - Kyriakakis, Chris
PY - 2004
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2004
AB - Convolutive noise in terms of reverberation can significantly degrade the quality and intelligibility of the real-world audio recordings. To reduce this type of acoustic noise, we propose a single-microphone dereverberation method based on Constant Modulus Algorithm (CMA) - a blind deconvolution technique. In particular, a new Non-causal Delayless Subband Filtering architecture is designed and combined with CMA to reduce the computational complexity of the overall system. Experimental results show that our method presents a comparable performance to fullband CMA, but with less computational cost in dereverberating audio signals.