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A dynamic latent variable model for source separation
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Kumar, Anurendra, Guha, Tanaya and Ghosh, Prasanta (2018) A dynamic latent variable model for source separation. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 15-20 April 2018 pp. 2871-2875. ISBN 9781538646588. doi:10.1109/ICASSP.2018.8461940 ISSN 2379-190X.
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Official URL: http://dx.doi.org/10.1109/ICASSP.2018.8461940
Abstract
We propose a novel latent variable model for learning latent bases for time-varying non-negative data. Our model uses a mixture multinomial as the likelihood function and proposes a Dirichlet distribution with dynamic parameters as a prior, which we call the dynamic Dirichlet prior. An expectation maximization (EM) algorithm is developed for estimating the parameters of the proposed model. Furthermore, we connect our proposed dynamic Dirichlet latent variable model (dynamic DLVM) to the two popular latent basis learning methods - probabilistic latent component analysis (PLCA) and non-negative matrix factorization (NMF). We show that (i) PLCA is a special case of the dynamic DLVM, and (ii) dynamic DLVM can be interpreted as a dynamic version of NMF. The effectiveness of the proposed model is demonstrated through extensive experiments on speaker source separation, and speech-noise separation. In both cases, our method performs better than relevant and competitive baselines. For speaker separation, dynamic DLVM shows 1.38 dB improvement in terms of source to interference ratio, and 1 dB improvement in source to artifact ratio.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Latent variables, Latent structure analysis, Distribution (Probability theory), Dirichlet problem, Source separation (Signal processing), Non-negative matrices | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781538646588 | ||||||
| ISSN: | 2379-190X | ||||||
| Book Title: | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | ||||||
| Official Date: | 13 September 2018 | ||||||
| Dates: |
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| Page Range: | pp. 2871-2875 | ||||||
| DOI: | 10.1109/ICASSP.2018.8461940 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 11 October 2018 | ||||||
| Date of first compliant Open Access: | 12 October 2018 | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Calgary, AB, Canada | ||||||
| Date(s) of Event: | 15-20 April 2018 |
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