Maarten Van Segbroeck currently works as a Postdoctoral Research Associate at the University of Southern California, Los Angeles. His main focus and interests are:. Robust signal processing,. Front-end techniques for speech recognition,. Machine learning methods,. Deep neural network computing,. Computational auditory scene analysis,. Language and speaker identification,. Maarten Van Segbroeck's Homepage 2015.
http://www.mvansegbroeck.com/
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Maarten Van Segbroeck | mvansegbroeck.com Reviews
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Maarten Van Segbroeck currently works as a Postdoctoral Research Associate at the University of Southern California, Los Angeles. His main focus and interests are:. Robust signal processing,. Front-end techniques for speech recognition,. Machine learning methods,. Deep neural network computing,. Computational auditory scene analysis,. Language and speaker identification,. Maarten Van Segbroeck's Homepage 2015.
mvansegbroeck.com
Maarten Van Segbroeck
http://www.mvansegbroeck.com/index.html
Maarten Van Segbroeck currently works as a Postdoctoral Research Associate at the University of Southern California, Los Angeles. His main focus and interests are:. Robust signal processing,. Front-end techniques for speech recognition,. Machine learning methods,. Deep neural network computing,. Computational auditory scene analysis,. Language and speaker identification,. Maarten Van Segbroeck's Homepage 2015.
Maarten Van Segbroeck
http://www.mvansegbroeck.com/publications.html
Ruchir Travadi, and Shrikanth S Narayanan. Rapid Language Identification. Audio, Speech, and Language Processing, IEEE Transactions on. 19(1):123–137, 2011. Vikram Ramanarayanan, Maarten Van Segbroeck. And Shrikanth S. Narayanan. Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories. Computer, Speech, and Language. And Hugo Van Hamme. Advances in missing feature techniques for robust large-vocabulary continuous speech recognition. Sriram ...
Maarten Van Segbroeck
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Maarten Van Segbroeck's Homepage 2015.
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Maarten Van Segbroeck
Maarten Van Segbroeck currently works as a Postdoctoral Research Associate at the University of Southern California, Los Angeles. His main focus and interests are:. Robust signal processing,. Front-end techniques for speech recognition,. Machine learning methods,. Deep neural network computing,. Computational auditory scene analysis,. Language and speaker identification,. Maarten Van Segbroeck's Homepage 2015.
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