During tile past decade, the applicability of hidden Markov models (HMM) to various facets of speech analysi s has been demonstrated in several different experiments. These investigations all rest on the assumption that speech is a quasi-stationary process whose stationary intervals can be identifie
β¦ LIBER β¦
State duration modelling in hidden Markov models
β Scribed by S.V. Vaseghi
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 917 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0165-1684
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Continuously variable duration hidden Ma
β
S.E. Levinson
π
Article
π
1986
π
Elsevier Science
π
English
β 655 KB
Testing for two states in a hidden Marko
β
JΓΆrn Dannemann; Hajo Holzmann
π
Article
π
2008
π
John Wiley and Sons
π
French
β 556 KB
Hidden semi-Markov models
β
Shun-Zheng Yu
π
Article
π
2010
π
Elsevier Science
π
English
β 558 KB
Hidden Markov models with states dependi
β
Yujian Li
π
Article
π
2005
π
Elsevier Science
π
English
β 310 KB
State clustering in hidden Markov model-
β
S.J. Young; P.C. Woodland
π
Article
π
1994
π
Elsevier Science
π
English
β 535 KB
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
State-dependent time warping in the tren
β
D.X. Sun; L. Deng; C.F.J. Wu
π
Article
π
1994
π
Elsevier Science
π
English
β 851 KB