Best path change rate for unsupervised language model weight selection
US10923117B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2019 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | Apr 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for selecting an optimal language model weight (LMW) used to perform automatic speech recognition, including decoding test audio into a lattice using a language model; analyzing the lattice using a first LMW of a plurality of LMWs to determine a first plurality of best paths; analyzing the lattice using a second LMW of the plurality of LMWs to determine a second plurality of best paths; determining a first best path change rate (BCPR) corresponding to the first LMW based on a number of best path changes between the first plurality of best paths and the second plurality of best paths; and determining the first LMW to be the optimal LMW based on the first BCPR being a lowest BCPR from among a plurality of BCPRs corresponding to the plurality of LMWs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.