Training apparatus, speech synthesis system, and speech synthesis method
US10957303B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2018 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Mar 21, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L19/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A training apparatus includes an autoregressive model configured to estimate a current signal from a past signal sequence and a current context label, a vocal tract feature analyzer configured to analyze an input speech signal to determine a vocal tract filter coefficient representing a vocal tract feature, a residual signal generator configured to output a residual signal, a quantization unit configured to quantize the residual signal output from the residual signal generator to generate a quantized residual signal, and a training controller configured to provide as a condition, a context label of an already known input text for the input speech signal corresponding to the already known input text to the autoregressive model and to train the autoregressive model by bringing a past sequence of the quantized residual signals for the input speech signal and the current context label into correspondence with a current signal of the quantized residual signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.