DocumentCode
3152602
Title
Contextual Hidden Markov Models
Author
Radenen, Mathieu ; Artières, Thierry
Author_Institution
LIP6, Univ. Pierre et Marie Curie, Paris, France
fYear
2012
fDate
25-30 March 2012
Firstpage
2113
Lastpage
2116
Abstract
Multiple works have proposed extensions of HMMs for handling variability. We focus here on the design of HMMs whose probability distribution on sequences depends on additional external variables that we call the context, which may stand for emotion features in speech recognition, physical features in gesture recognition, etc. We show experimentally the relevance of the method for handwriting recognition.
Keywords
emotion recognition; handwriting recognition; hidden Markov models; probability; speech recognition; HMM; contextual hidden Markov model; emotion feature; gesture recognition; handling variability; handwriting recognition; probability distribution; speech recognition; Context; Context modeling; Covariance matrix; Hidden Markov models; Speech recognition; Training; Vectors; Context variables; Handwriting Recognition; Hidden Markov Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6288328
Filename
6288328
Link To Document