Method of speech recognition using variational inference with switching state space models
First Claim
1. A method of estimating a posterior probability for a switching state space model, the posterior probability providing the likelihood of a set of speech units and a set of hidden parameters for a sequence of frames based upon input values associated with the sequence of frames, the method comprising:
- approximating the posterior probability in part by multiplying individual hidden parameter probabilities together to form a product of the hidden parameter probabilities, wherein each individual hidden parameter probability provides the probability of a hidden parameter for a frame given a speech unit of the frame and given the input values for the sequence of frames, and by multiplying the product of the hidden parameter probabilities by the product of speech unit probabilities, wherein each speech unit probability provides a probability of a speech unit for a frame; and
adjusting parameters that define the hidden parameter probabilities so that the hidden parameter probabilities provide a better approximation of the posterior probability.
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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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Citations
26 Claims
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1. A method of estimating a posterior probability for a switching state space model, the posterior probability providing the likelihood of a set of speech units and a set of hidden parameters for a sequence of frames based upon input values associated with the sequence of frames, the method comprising:
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approximating the posterior probability in part by multiplying individual hidden parameter probabilities together to form a product of the hidden parameter probabilities, wherein each individual hidden parameter probability provides the probability of a hidden parameter for a frame given a speech unit of the frame and given the input values for the sequence of frames, and by multiplying the product of the hidden parameter probabilities by the product of speech unit probabilities, wherein each speech unit probability provides a probability of a speech unit for a frame; and
adjusting parameters that define the hidden parameter probabilities so that the hidden parameter probabilities provide a better approximation of the posterior probability. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of estimating a posterior probability for a switching state space model, the posterior probability providing the likelihood of a set of speech units and a set of hidden parameters for a sequence of frames based upon input values associated with the sequence of frames, the method comprising:
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approximating the posterior probability in part by multiplying individual hidden parameter probabilities together to form a product of the hidden parameter probabilities, wherein each individual hidden parameter probability provides the probability of a hidden parameter for a frame given a speech unit of the frame and given the input values for the sequence of frames, and by multiplying the product of the hidden parameter probabilities by a product of speech unit transition probabilities, wherein each speech unit transition probability provides a probability of a speech unit in a frame given a speech unit in another frame; and
adjusting parameters that define the hidden parameter probabilities so that the hidden parameter probabilities provide a better approximation of the posterior probability. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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Specification