Method of speech recognition using variational inference with switching state space models
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United States of America Patent
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Feb 3, 2009
Grant Date -
Jun 2, 2005
app pub date -
Nov 9, 2004
filing date -
Apr 1, 2003
priority date (Note) -
Expired
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Abstract
A method is developed which includes 1) defining a switching state space model for a continuous valued hidden production-related parameter and the observed speech acoustics, and 2) approximating a posterior probability that provides the likelihood of a sequence of the hidden production-related parameters and a sequence of speech units based on a sequence of observed input values. In approximating the posterior probability, the boundaries of the speech units are not fixed but are optimally determined. Under one embodiment, a mixture of Gaussian approximation is used. In another embodiment, an HMM posterior approximation is used.
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