End-to-end neural network based automated speech scoring
US10937444B1 · kind B1 · utility
8Cited by
2References
20Claims
0Family size
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Key dates
| Filing date | Nov 20, 2018 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Aug 29, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for end-to-end automated scoring is disclosed. The system includes a word embedding layer for converting a plurality of ASR outputs into input tensors; a neural network lexical model encoder receiving the input tensors; a neural network acoustic model encoder implementing AM posterior probability, word duration, mean value of pitch and mean value of intensity based on a plurality of cues; and a linear regression module, for receiving concatenated encoded features from the neural network lexical model encoder and the neural network acoustic model encoder.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.