Hypothesis stitcher for speech recognition of long-form audio
US11574639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2020 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | May 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/0272
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hypothesis stitcher for speech recognition of long-form audio provides superior performance, such as higher accuracy and reduced computational cost. An example disclosed operation includes: segmenting the audio stream into a plurality of audio segments; identifying a plurality of speakers within each of the plurality of audio segments; performing automatic speech recognition (ASR) on each of the plurality of audio segments to generate a plurality of short-segment hypotheses; merging at least a portion of the short-segment hypotheses into a first merged hypothesis set; inserting stitching symbols into the first merged hypothesis set, the stitching symbols including a window change (WC) symbol; and consolidating, with a network-based hypothesis stitcher, the first merged hypothesis set into a first consolidated hypothesis. Multiple variations are disclosed, including alignment-based stitchers and serialized stitchers, which may operate as speaker-specific stitchers or multi-speaker stitchers, and may further support multiple options for differing hypothesis configurations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.