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» Subspace Gaussian Mixture Models for speech recognition
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79
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ICASSP
2011
IEEE
14 years 1 months ago
An evaluation of alaryngeal speech enhancement methods based on voice conversion techniques
In this study, we evaluate our proposed methods for enhancing alaryngeal speech based on statistical voice conversion techniques. Voice conversion based on a Gaussian mixture mode...
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...
ICASSP
2010
IEEE
14 years 10 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
80
Voted
ICANN
2010
Springer
14 years 9 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
ICASSP
2008
IEEE
15 years 4 months ago
Evaluation of several strategies for single sensor speech/music separation
In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely ...
Raphaël Blouet, Guy Rapaport, Cédric F...
ICMCS
2006
IEEE
86views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabili...
Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Hsiao ...