End-to-end multi-talker overlapping speech recognition
US11521595B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jan 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/0272
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a speech recognition model with a loss function includes receiving an audio signal including a first segment corresponding to audio spoken by a first speaker, a second segment corresponding to audio spoken by a second speaker, and an overlapping region where the first segment overlaps the second segment. The overlapping region includes a known start time and a known end time. The method also includes generating a respective masked audio embedding for each of the first and second speakers. The method also includes applying a masking loss after the known end time to the respective masked audio embedding for the first speaker when the first speaker was speaking prior to the known start time, or applying the masking loss prior to the known start time when the first speaker was speaking after the known end time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.