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» Independent component analysis for noisy speech recognition
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ICASSP
2010
IEEE
15 years 2 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
15 years 9 days ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna
ICCV
1999
IEEE
15 years 6 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ICASSP
2010
IEEE
15 years 2 months ago
Reverberated speech signal separation based on regularized subband feedforward ICA and instantaneous direction of arrival
In this paper, independent component analysis (ICA) in a subband domain has been extended into a feed-forward network. The feed-forward network maximizes mutual independence of se...
Lae-Hoon Kim, Ivan Tashev, Alex Acero
106
Voted
CSL
2000
Springer
15 years 1 months ago
Detection of phonological features in continuous speech using neural networks
We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experiments on three phon...
Simon King, Paul Taylor