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Spectrogram dimensionality reductionwith independence constraints | IEEE Conference Publication | IEEE Xplore

Spectrogram dimensionality reductionwith independence constraints


Abstract:

We present an algorithm to find a low-dimensional decomposition of a spectrogram by formulating this as a regularized non-negative matrix factorization (NMF) problem with...Show More

Abstract:

We present an algorithm to find a low-dimensional decomposition of a spectrogram by formulating this as a regularized non-negative matrix factorization (NMF) problem with a regularization term chosen to encourage independence. This algorithm provides a better decomposition than standard NMF when the underlying sources are independent. It is directly applicable to non-square matrices, and it makes better use of additional observation streams than previous nonnegative ICA algorithms.
Date of Conference: 14-19 March 2010
Date Added to IEEE Xplore: 28 June 2010
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Conference Location: Dallas, TX, USA

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