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» Particle methods for Bayesian modeling and enhancement of sp...
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NIPS
2003
13 years 6 months ago
Predicting Speech Intelligibility from a Population of Neurons
A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener...
Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Ha...
ICASSP
2011
IEEE
12 years 9 months ago
The transformed Variational Bayes approximation
The purpose of this paper is to develop parameter transformation strategies that improve the accuracy of the Variational Bayes (VB) approximation. The idea is to find a transform...
Viet Hung Tran, Anthony Quinn
CSL
2010
Springer
13 years 3 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
ICML
2007
IEEE
14 years 6 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
TSD
2004
Springer
13 years 10 months ago
Modeling Prosodic Structures in Linguistically Enriched Environments
A significant challenge in Text-to-Speech (TtS) synthesis is the formulation of the prosodic structures (phrase breaks, pitch accents, phrase accents and boundary tones) of uttera...
Gerasimos Xydas, Dimitris Spiliotopoulos, Georgios...