Generative modeling of speech using neural networks
US9653093B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2014 |
| Grant date | May 16, 2017 |
| Priority date | — |
| Expiry date | Dec 27, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/144
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Features are disclosed for using an artificial neural network to generate customized speech recognition models during the speech recognition process. By dynamically generating the speech recognition models during the speech recognition process, the models can be customized based on the specific context of individual frames within the audio data currently being processed. In this way, dependencies between frames in the current sequence can form the basis of the models used to score individual frames of the current sequence. Thus, each frame of the current sequence (or some subset thereof) may be scored using one or more models customized for the particular frame in context.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.