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CSL
2002
Springer
13 years 7 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
ICPR
2008
IEEE
14 years 2 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
TCSV
2008
102views more  TCSV 2008»
13 years 7 months ago
Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
Wen-Huang Cheng, Yung-Yu Chuang, Yin-Tzu Lin, Chi-...
BMCBI
2007
115views more  BMCBI 2007»
13 years 7 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
DAGM
2009
Springer
13 years 5 months ago
HMM-Based Defect Localization in Wire Ropes - A New Approach to Unusual Subsequence Recognition
Abstract. Automatic visual inspection has become an important application of pattern recognition, as it supports the human in this demanding and often dangerous work. Nevertheless,...
Esther-Sabrina Platzer, Josef Nägele, Karl-He...