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» Aggregation-based model reduction of a Hidden Markov Model
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ICASSP
2009
IEEE
16 years 6 days ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
15 years 11 months ago
Flexible Low Power Probability Density Estimation Unit For Speech Recognition
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
Ullas Pazhayaveetil, Dhruba Chandra, Paul Franzon
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
15 years 11 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
ICA
2007
Springer
15 years 9 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
WSC
1997
15 years 6 months ago
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains
We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generat...
James M. Calvin, Marvin K. Nakayama