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» Spoken emotion recognition using hierarchical classifiers
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ICDAR
2005
IEEE
15 years 3 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
FGR
2011
IEEE
237views Biometrics» more  FGR 2011»
14 years 1 months ago
The motion in emotion - A CERT based approach to the FERA emotion challenge
—This paper assesses the performance of measures of facial expression dynamics derived from the Computer Expression Recognition Toolbox (CERT) for classifying emotions in the Fac...
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Nich...
IPCV
2008
14 years 11 months ago
Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
Yousef Alotaibi, Mansour Al-Ghamdi, Fahad Alotaiby
ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
15 years 2 months ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
CVPR
2003
IEEE
15 years 11 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...