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» Universal background model based speech recognition
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ICPR
2006
IEEE
15 years 11 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
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 ...
INTERSPEECH
2010
14 years 4 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose
ESANN
2007
14 years 11 months ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ICIP
2002
IEEE
15 years 11 months ago
Application of support vector machines classifiers to visual speech recognition
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
Mihaela Gordan, Constantine Kotropoulos, Apostolos...