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 MoreMetadata
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
ISBN Information: