Apparatus and method for training a neural network acoustic model, and speech recognition apparatus and method
US10109272B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 12, 2016 |
| Grant date | Oct 23, 2018 |
| Priority date | — |
| Expiry date | Sep 12, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment, an apparatus for training a neural network acoustic model includes a calculating unit, a clustering unit, and a sharing unit. The calculating unit calculates, based on training data including a training speech and a labeled phoneme state, scores of phoneme states different from the labeled phoneme state. The clustering unit clusters a phoneme state whose score is larger than a predetermined threshold and the labeled phoneme state. The sharing unit shares probability of the labeled phoneme state by the clustered phoneme states. The training unit trains the neural network acoustic model based on the training speech and the clustered phoneme states.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.