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» Articulatory features for robust visual speech recognition
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INTERSPEECH
2010
13 years 2 months ago
Impact of lack of acoustic feedback in EMG-based silent speech recognition
This paper presents our recent advances in speech recognition based on surface electromyography (EMG). This technology allows for Silent Speech Interfaces since EMG captures the e...
Matthias Janke, Michael Wand, Tanja Schultz
ICASSP
2009
IEEE
14 years 2 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
NOLISP
2005
Springer
14 years 28 days ago
Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition
Novel speech features calculated from third-order statistics of subband-filtered speech signals are introduced and studied for robust speech recognition. These features have the p...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
ICASSP
2009
IEEE
14 years 2 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