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ICASSP
2009
IEEE
15 years 4 months 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
UCS
2007
Springer
15 years 3 months ago
The iNAV Indoor Navigation System
COMPASS is a location framework where location sources are realized as plugins that contribute probability density functions to the overall localization result. In addition, COMPAS...
Frank Kargl, Sascha Geßler, Florian Flerlage
FPL
2005
Springer
113views Hardware» more  FPL 2005»
15 years 3 months ago
Ziggurat-based Hardware Gaussian Random Number Generator
An architecture and implementation of a high performance Gaussian random number generator (GRNG) is described. The GRNG uses the Ziggurat algorithm which divides the area under th...
Guanglie Zhang, Philip Heng Wai Leong, Dong-U Lee,...
IDEAL
2004
Springer
15 years 3 months ago
Combining Gaussian Mixture Models
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
Hyoungjoo Lee, Sungzoon Cho
PPSN
2004
Springer
15 years 3 months ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik