65 search results - page 1 / 13 » Learning Spectral Clustering, With Application To Speech Sep... |
JMLR
2006
13 years 4 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
NIPS
2004
13 years 5 months ago
2004
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely ...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...