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Reverberation is known to introduce difficulties in audio source separation, and reverse engineering independent sources from a convolutive mixture is one of the toughest challenges within blind source separation. This paper proposes two novel methods that combine dereverberation work with microphone interference reduction. The results are evaluated objectively using the BSS Eval toolbox and Reverb Workshop Evaluation Toolbox, relative to the effectiveness of the dereverberation and source separation. Both proposed methods show improvements on the existing dereverberation technique used. However, this has a negative impact on the source separation, as has also been seen in other work. An explanation for this negative impact and alternative approaches to avoid this situation are proposed.
Author (s): Moffat, David;
Reiss, Joshua D.;
Affiliation:
Queen Mary University of London, London, UK
(See document for exact affiliation information.)
Publication Date:
2016-01-06
Session subject:
Paper Session 3
DOI:
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Moffat, David; Reiss, Joshua D.; 2016; Implementation and Assessment of Joint Source Separation and Dereverberation [PDF]; Queen Mary University of London, London, UK; Paper 3-4; Available from: https://aes.org/publications/elibrary-page/?id=18065
Moffat, David; Reiss, Joshua D.; Implementation and Assessment of Joint Source Separation and Dereverberation [PDF]; Queen Mary University of London, London, UK; Paper 3-4; 2016 Available: https://aes.org/publications/elibrary-page/?id=18065
@inproceedings{Moffat2016implementation,
title={{Implementation and Assessment of Joint Source Separation and Dereverberation}},
author={Moffat, David and Reiss, Joshua D.},
year={2016},
month={jan},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 3-4; AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech; January 2016},
number={3-4},
organization={AES},
}
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