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MLMI
2004
Springer
13 years 10 months ago
Mapping from Speech to Images Using Continuous State Space Models
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it po...
Tue Lehn-Schiøler, Lars Kai Hansen, Jan Lar...
ICASSP
2009
IEEE
13 years 2 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
WSC
2000
13 years 6 months ago
Using simulation and critical points to define states in continuous search spaces
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
Marc S. Atkin, Paul R. Cohen
NAACL
1994
13 years 6 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
AAAI
2007
13 years 7 months ago
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
Prashant Doshi