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ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 28 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
EJASMP
2010
196views more  EJASMP 2010»
13 years 2 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
ISF
2008
210views more  ISF 2008»
13 years 7 months ago
Affective e-Learning in residential and pervasive computing environments
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
Liping Shen, Victor Callaghan, Ruimin Shen
FGR
2011
IEEE
244views Biometrics» more  FGR 2011»
12 years 11 months ago
Emotion representation, analysis and synthesis in continuous space: A survey
— Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains...
Hatice Gunes, Björn Schuller, Maja Pantic, Ro...
ICASSP
2009
IEEE
14 years 2 months ago
Data-driven lexicon expansion for Mandarin broadcast news and conversation speech recognition
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
Xin Lei, Wen Wang, Stolcke Stolcke