Robust speech recognition in the presence of echo and noise using multiple signals for discrimination
US9672821B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2015 |
| Grant date | Jun 6, 2017 |
| Priority date | — |
| Expiry date | Nov 24, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for speech recognition system having a speech processor that is trained to recognize speech by considering (1) a raw microphone signal that includes an echo signal and (2) different types of echo information signals from an echo cancellation system (and optionally different types of ambient noise suppression signals from a noise suppressor). The different types of echo information signals may include those used for echo cancelation and those having echo information. The speech recognition system may convert the raw microphone signal and different types of echo information signals (and optional noise suppression signals) into spectral features in the form of a vector, and a concatenator to combine the feature vectors into a total vector (for a period of time) that is used to train the speech processor, and during use of the speech processor to recognize speech.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.