A speaker-independent automatic speech recognition system is developed using hidden Markov models (HMMs). Simulated annealing and randomized search are used to optimize discrete features of the system, including topologies, parameter ties, context clusters, and the sizes of mixture densities. Domain
Diagnostic tools for evaluating and updating hidden Markov models
โ Scribed by Brendan McCane; Terry Caelli
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 305 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
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