Characterizing, selecting and adapting audio and acoustic training data for automatic speech recognition systems
US11482241B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2017 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | May 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for and method of characterizing a target application acoustic domain analyzes one or more speech data samples from the target application acoustic domain to determine one or more target acoustic characteristics, including a CODEC type and bit-rate associated with the speech data samples. The determined target acoustic characteristics may also include other aspects of the target speech data samples such as sampling frequency, active bandwidth, noise level, reverberation level, clipping level, and speaking rate. The determined target acoustic characteristics are stored in a memory as a target acoustic data profile. The data profile may be used to select and/or modify one or more out of domain speech samples based on the one or more target acoustic characteristics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.