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ICA
2004
Springer
14 years 28 days ago
Nonlinear Postprocessing for Blind Speech Separation
Abstract. Frequency domain ICA has been used successfully to separate the utterances of interfering speakers in convolutive environments, see e.g. [6],[7]. Improved separation resu...
Dorothea Kolossa, Reinhold Orglmeister
NIPS
2004
13 years 9 months ago
A Harmonic Excitation State-Space Approach to Blind Separation of Speech
We discuss an identification framework for noisy speech mixtures. A block-based generative model is formulated that explicitly incorporates the time-varying harmonic plus noise (H...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
ESANN
2004
13 years 9 months ago
Lattice ICA for the separation of speech signals
This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This method is applied to a mixture...
Manuel Rodríguez Álvarez, Fernando R...
SPEECH
2011
13 years 2 months ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...
ACL
1998
13 years 9 months ago
Part of Speech Tagging Using a Network of Linear Separators
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
Dan Roth, Dmitry Zelenko