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ICASSP
2011
IEEE
14 years 10 months ago
Improvement to esprit-type frequency estimators via reducing data redundancy
In this paper, the problem of estimating the damping factor and frequency parameters from multiple cisoids in noise is addressed. We rst propose a data matrix which generalizes th...
Weize Sun, Hing Cheung So
ICASSP
2010
IEEE
15 years 4 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...
EMNLP
2009
15 years 4 months ago
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Yuval Marton, Chris Callison-Burch, Philip Resnik
SPEECH
2011
15 years 1 months ago
A multistage approach to blind separation of convolutive speech mixtures
We propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component analysis (ICA) an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann