Parameter learning in a hidden trajectory model

US8942978B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8942978-B2
Application numberUS-201113182971-A
CountryUS
Kind codeB2
Filing dateJul 14, 2011
Priority dateFeb 17, 2006
Publication dateJan 27, 2015
Grant dateJan 27, 2015

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Abstract

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Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood function.

First claim

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What is claimed is: 1. A computer-implemented method for performing steps with a computer having a processor, the method comprising: accessing, with the processor, cepstral observation data representing acoustic data from a speech signal; estimating covariance parameters for distributions of a hidden trajectory model that gives a probability of a vocal tract resonance (VTR) trajectory, by using the cepstral observation data to solve a set of equations, with the processor, to est…

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What does patent US8942978B2 cover?
Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood func…
Who is the assignee on this patent?
Deng Li, Yu Dong, Li Xiaolong, and 2 more
What technology area does this patent fall under?
Primary CPC classification G10L15/063. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 27 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).