65 search results - page 2 / 13 » Learning Spectral Clustering, With Application To Speech Sep... |
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
ISAAC
2007
Springer
13 years 10 months ago
2007
Springer
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
CSL
2010
Springer
13 years 4 months ago
2010
Springer
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
IJON
2008
13 years 4 months ago
2008
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...