conference paper
Ungrounded Independent Non-Negative Factor Analysis
Bhiksha
Raj
author
Kevin W.
Wilson
author
Alexander
Krueger
author
Reinhold
Haeb-Umbach
author 242
54
department
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 non-negative ICA algorithms.
2010
eng
Interspeech 2010
B. Raj, K.W. Wilson, A. Krueger, R. Haeb-Umbach, in: Interspeech 2010, 2010.
Raj, B., Wilson, K. W., Krueger, A., & Haeb-Umbach, R. (2010). Ungrounded Independent Non-Negative Factor Analysis. In <i>Interspeech 2010</i>.
B. Raj, K. W. Wilson, A. Krueger, and R. Haeb-Umbach, “Ungrounded Independent Non-Negative Factor Analysis,” in <i>Interspeech 2010</i>, 2010.
Raj B, Wilson KW, Krueger A, Haeb-Umbach R. Ungrounded Independent Non-Negative Factor Analysis. In: <i>Interspeech 2010</i>. ; 2010.
Raj, Bhiksha, et al. “Ungrounded Independent Non-Negative Factor Analysis.” <i>Interspeech 2010</i>, 2010.
@inproceedings{Raj_Wilson_Krueger_Haeb-Umbach_2010, title={Ungrounded Independent Non-Negative Factor Analysis}, booktitle={Interspeech 2010}, author={Raj, Bhiksha and Wilson, Kevin W. and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010} }
Raj, Bhiksha, Kevin W. Wilson, Alexander Krueger, and Reinhold Haeb-Umbach. “Ungrounded Independent Non-Negative Factor Analysis.” In <i>Interspeech 2010</i>, 2010.
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