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» System modeling with mixed object and data models
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ICASSP
2009
IEEE
14 years 2 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
TGIS
2002
137views more  TGIS 2002»
13 years 7 months ago
Spatio-Temporal Object-Oriented Data Model for Disaggregate Travel Behavior
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...
INTERSPEECH
2010
13 years 2 months ago
Towards mixed language speech recognition systems
Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed lan...
David Imseng, Hervé Bourlard, Mathew Magima...
DSS
2008
116views more  DSS 2008»
13 years 7 months ago
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requiremen...
Paolo Giorgini, Stefano Rizzi, Maddalena Garzetti
ISMAR
2009
IEEE
14 years 2 months ago
Real-time in-situ visual feedback of task performance in mixed environments for learning joint psychomotor-cognitive tasks
This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill s...
Aaron Kotranza, D. Scott Lind, Carla M. Pugh, Benj...