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» Canonical state models for automatic speech recognition
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FGR
2002
IEEE
229views Biometrics» more  FGR 2002»
13 years 10 months ago
An Approach to Automatic Recognition of Spontaneous Facial Actions
We present ongoing work on a project for automatic recognition of spontaneous facial actions. Spontaneous facial expressions differ substantially from posed expressions, similar t...
Bjorn Braathen, Marian Stewart Bartlett, Gwen Litt...
NAACL
2003
13 years 6 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
INTERSPEECH
2010
13 years 2 days ago
Hidden Markov models with context-sensitive observations for grapheme-to-phoneme conversion
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
CIKM
2001
Springer
13 years 9 months ago
Towards Speech as a Knowledge Resource
Speech is a tantalizing mode of human communication. On one hand, humans understand speech with ease and use speech to express complex ideas, information, and knowledge. On the ot...
Eric W. Brown, Savitha Srinivasan, Anni Coden, Dul...
TSP
2010
12 years 12 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss