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Computationally Efficient Blind Dereverberation of Audio Signals
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.
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