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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 9 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
INTERSPEECH
2010
14 years 6 months ago
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An e...
Wenye Ma, Meng Yu, Jack Xin, Stanley Osher
ICASSP
2011
IEEE
14 years 3 months ago
Binaural sound source separation motivated by auditory processing
In this paper we present a new method of signal processing for robust speech recognition using two microphones. The method, loosely based on the human binaural hearing system, con...
Chanwoo Kim, Kshitiz Kumar, Richard M. Stern
ICASSP
2011
IEEE
14 years 3 months ago
MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals
We present MPtracker, a new algorithm for tracking and separating the pitch frequencies of two speakers from their mixture. The pitch frequencies are detected by introducing a nov...
Mohammad Hossein Radfar, Richard M. Dansereau, Wai...
ICPR
2006
IEEE
16 years 29 days ago
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation
Permutation ambiguity is an inherent limitation in independent component analysis, which is a bottleneck in frequency-domain methods of convolutive source separation. In this pape...
Minje Kim, Seungjin Choi