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MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

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deepakbaby/dereverberation-and-denoising

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MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques detailed in [1].

Written by Deepak Baby, KU Leuven, September 2015.

Codes are also available in https://github.com/deepakbaby/dereverberation in case there are further changes

If you use this code please cite:
[1] Deepak Baby and Hugo Van hamme. Supervised Speech Dereverberation in Noisy Environments using Exemplar-based Sparse Representations. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, Shanghai, China, March 2016. 
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Files:

NMDwithReverb.m : For estimating the RIR and the exemplar weights using the NMD-based formulation
NMFwithReverb.m : For estimating the RIR and the exemplar weights using the NMF-based formulation

NMDwithReverb_slow.m : A slower version of NMDwithReverb.m to be used if GPU gives 'out of memory' error

Further documentation is available inside each script.

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MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

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