Language models using spoken language modeling
US-2024386885-A1 · Nov 21, 2024 · US
US8942978B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8942978-B2 |
| Application number | US-201113182971-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 14, 2011 |
| Priority date | Feb 17, 2006 |
| Publication date | Jan 27, 2015 |
| Grant date | Jan 27, 2015 |
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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.
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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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