Passive training for automatic speech recognition
US9953634B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2014 |
| Grant date | Apr 24, 2018 |
| Priority date | — |
| Expiry date | Jun 17, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are methods and systems for passive training for automatic speech recognition. An example method includes utilizing a first, speaker-independent model to detect a spoken keyword or a key phrase in spoken utterances. While utilizing the first model, a second model is passively trained to detect the spoken keyword or the key phrase in the spoken utterances using at least partially the spoken utterances. The second, speaker dependent model may utilize deep neural network (DNN) or convolutional neural network (CNN) techniques. In response to completion of the training, a switch is made from utilizing the first model to utilizing the second model to detect the spoken keyword or the key phrase in spoken utterances. While utilizing the second model, parameters associated therewith are updated using the spoken utterances in response to detecting the keyword or the key phrase in the spoken utterances. User authentication functionality may be provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.