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» Bayesian sensing hidden Markov models for speech recognition
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FGR
2004
IEEE
102views Biometrics» more  FGR 2004»
15 years 2 months ago
Towards a One-Way American Sign Language Translator
Inspired by the Defense Advanced Research Projects Agency's (DARPA) recent successes in speech recognition, we introduce a new task for sign language recognition research: a ...
R. Martin McGuire, Jose L. Hernandez-Rebollar, Tha...
69
Voted
ICIP
2003
IEEE
16 years 21 days ago
Techniques for automatic video content derivation
In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based metho...
Milan Petkovic, Vojkan Mihajlovic, Willem Jonker
TASLP
2010
157views more  TASLP 2010»
14 years 5 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan
CORR
2010
Springer
69views Education» more  CORR 2010»
14 years 11 months ago
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...
NIPS
1996
15 years 12 days ago
A Micropower Analog VLSI HMM State Decoder for Wordspotting
We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decod...
John Lazzaro, John Wawrzynek, Richard Lippmann