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ICPR
2010
IEEE
13 years 11 months ago
Multi-Modal Emotion Recognition Using Canonical Correlations and Acoustic Features
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user exp...
Rok Gajsek, Vitomir Struc, France Mihelic
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
13 years 11 months 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
NAACL
1994
13 years 7 months ago
Recent Improvements in the CMU Spoken Language Understanding System
We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and gramm...
Wayne Ward, Sunil Issar
CBMS
2007
IEEE
14 years 4 days ago
Vicarious Learning and (Virtual) Case-Based Teaching in Health Science Education
This paper describes PATSy, an established interactive case-based system that provides students with access to virtual patients. PATSy has recently been extended by the addition o...
Richard Cox, Jianxiong Pang
SAC
2010
ACM
13 years 6 months ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel