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ICASSP
2010
IEEE
13 years 6 months ago
Improved single-channel speech separation using sinusoidal modeling
We present a novel single-channel separation approach to improve the separation performance while recovering the signals from a mixture. The key idea in this research is to employ...
Pejman Mowlaee, Mads Græsbøll Christe...
ICASSP
2011
IEEE
12 years 12 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...
ECTEL
2009
Springer
13 years 6 months ago
Experience Structuring Factors Affecting Learning in Family Visits to Museums
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the mus...
Marek Hatala, Karen Tanenbaum, Ron Wakkary, Kevin ...
ICPR
2004
IEEE
14 years 9 months ago
Learning Spatial Context from Tracking using Penalised Likelihoods
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
Hammadi Nait-Charif, Stephen J. McKenna
VTC
2007
IEEE
14 years 2 months ago
Ultra-Wideband Signal Acquisition in Non-Gaussian Noise via Successive Sampling
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...
Ersen Ekrem, Mutlu Koca, Hakan Deliç