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» Optimization of Formant Feature Based Speech Recognition
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ICASSP
2011
IEEE
12 years 11 months ago
A novel approach using modulation features for multiphone-based speech recognition
Recent advances in coherent and convex demodulation have proven useful for analyzing and modifying the low-frequency envelope structure of speech. This paper reports the applicati...
Pascal Clark, Gregory Sell, Les E. Atlas
ICIP
2002
IEEE
14 years 9 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...
ICPR
2004
IEEE
14 years 8 months ago
Structural Representation of Speech for Phonetic Classification
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
Alexander Gutkin, Simon King
ICASSP
2008
IEEE
14 years 1 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
BIOSTEC
2008
184views Healthcare» more  BIOSTEC 2008»
13 years 9 months ago
Automatic Speech Recognition Based on Electromyographic Biosignals
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
Szu-Chen Stan Jou, Tanja Schultz