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» Optimization of Formant Feature Based Speech Recognition
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ICASSP
2010
IEEE
13 years 6 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
NOLISP
2005
Springer
14 years 1 months 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...
MM
2010
ACM
160views Multimedia» more  MM 2010»
13 years 7 months ago
Automatic role recognition based on conversational and prosodic behaviour
This paper proposes an approach for the automatic recognition of roles in settings like news and talk-shows, where roles correspond to specific functions like Anchorman, Guest or ...
Hugues Salamin, Alessandro Vinciarelli, Khiet Truo...
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 26 days ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass