TR2010-122
Ungrounded Independent Non-Negative Factor Analysis
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- "Ungrounded Independent Non-Negative Factor Analysis", Interspeech, September 2010, pp. 330-333.BibTeX TR2010-122 PDF
- @inproceedings{Raj2010sep,
- author = {Raj, B. and Wilson, K.W. and Krueger, A. and Haeb-Umbach, R.},
- title = {Ungrounded Independent Non-Negative Factor Analysis},
- booktitle = {Interspeech},
- year = 2010,
- pages = {330--333},
- month = sep,
- url = {https://www.merl.com/publications/TR2010-122}
- }
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- "Ungrounded Independent Non-Negative Factor Analysis", Interspeech, September 2010, pp. 330-333.
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Research Areas:
Abstract:
We describe an algorithm that performs regularized non-negative matrix factorization (NMF) to find independent components in non-negative data. Previous techniques proposed for this purpose require the data to be grounded, with support that goes down to 0 along each dimension. In our work, this requirement is eliminated. Based on it, we present a technique to find a low-dimensional decomposition of spectrograms by casting it as a problem of discovering independent non-negative components from it. The algorithm itself is implemented as regularized non-negative matrix factorization (NMF). Unlike other ICA algorithms, this algorithm computes the mixing matrix rather than an unmixing matrix. This algorithm provides a better decomposition than standard NMF when the underlying sources are independent. It makes better use of additional observation streams than previous nonnegative ICA algorithms.
Related News & Events
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NEWS Annual Conference of the International Speech Communication Association 2010: publication by MERL researchers and others Date: September 26, 2010
Where: Annual Conference of the International Speech Communication Association
Research Area: Speech & AudioBrief- The paper "Ungrounded Independent Non-Negative Factor Analysis" by Raj, B., Wilson, K.W., Krueger, A. and Haeb-Umbach, R. was presented at the Annual Conference of the International Speech Communication Association.