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Guided Cluster Discovery with Markov Model

โœ Scribed by C.H. Li


Book ID
111571139
Publisher
Springer US
Year
2005
Tongue
English
Weight
333 KB
Volume
22
Category
Article
ISSN
0924-669X

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A key problem in the use of context-dependent hidden Markov models is the need to balance the desired model complexity with the amount of available training data. This paper describes a method which uses a simple agglomerative algorithm to cluster and tie acoustically similar states. The main proper