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» Analysis-by-synthesis features for speech recognition
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IMCSIT
2010
14 years 7 months ago
Automatic Detection of Prominent Words in Russian Speech
Abstract--An experimental research with a goal to automatically detect prominent words in Russian speech is presented in this paper. The proposed automatic prominent word detection...
Daniil Kocharov
ICASSP
2011
IEEE
14 years 1 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
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...
ICASSP
2009
IEEE
15 years 4 months ago
Minimum variance modulation filter for robust speech recognition
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
Yu-Hsiang Bosco Chiu, Richard M. Stern
ICASSP
2009
IEEE
14 years 7 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...