Methods and systems for implementing on-device non-semantic representation fine-tuning for speech classification
US11996116B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2020 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Feb 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/63
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples relate to on-device non-semantic representation fine-tuning for speech classification. A computing system may obtain audio data having a speech portion and train a neural network to learn a non-semantic speech representation based on the speech portion of the audio data. The computing system may evaluate performance of the non-semantic speech representation based on a set of benchmark tasks corresponding to a speech domain and perform a fine-tuning process on the non-semantic speech representation based on one or more downstream tasks. The computing system may further generate a model based on the non-semantic representation and provide the model to a mobile computing device. The model is configured to operate locally on the mobile computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.