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COLING
2010
14 years 5 months ago
A comparison of unsupervised methods for Part-of-Speech Tagging in Chinese
We conduct a series of Part-of-Speech (POS) Tagging experiments using Expectation Maximization (EM), Variational Bayes (VB) and Gibbs Sampling (GS) against the Chinese Penn Treeba...
Alex Cheng, Fei Xia, Jianfeng Gao
ICPR
2006
IEEE
15 years 11 months ago
Phoneme segmentation of speech
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...
Bartosz Ziólko, Suresh Manandhar, Richard C...
EUSAI
2003
Springer
15 years 3 months ago
Experimental Evaluation of Variations in Primary Features Used for Accelerometric Context Recognition
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...
ACCV
2010
Springer
14 years 5 months ago
An Unsupervised Framework for Action Recognition Using Actemes
Abstract. In speech recognition, phonemes have demonstrated their efficacy to model the words of a language. While they are well defined for languages, their extension to human act...
Kaustubh Kulkarni, Edmond Boyer, Radu Horaud, Amit...
ICPR
2008
IEEE
15 years 4 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