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» Emotion recognition using imperfect speech recognition
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CVPR
2003
IEEE
15 years 12 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...
LREC
2008
126views Education» more  LREC 2008»
14 years 11 months ago
Morphosyntactic Resources for Automatic Speech Recognition
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to the idiosyncrasies of oral productions or the principles of ASR systems, that mak...
Stéphane Huet, Guillaume Gravier, Pascale S...
TASLP
2010
97views more  TASLP 2010»
14 years 4 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
CSL
2007
Springer
14 years 9 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
TSD
2010
Springer
14 years 7 months ago
Embedded Speech Recognition in UPnP (DLNA) Environment
In the past decade great technological advances have been made in internet services, personal computers, telecommunications, media and entertainment. Many of these advances have be...
Jozef Ivanecký, Radek Hampl