HMM-based echo model for noise cancellation avoiding the problem of false triggers
US6606595B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2000 |
| Grant date | Aug 12, 2003 |
| Priority date | — |
| Expiry date | Aug 31, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automatic speech recognition system for the condition that an incoming caller's speech is quiet and a resulting echo (of a loud playing prompt) can cause the residual (the portion of the echo remaining after even echo cancellation) to be of the magnitude of the incoming speech input. Such loud echoes can falsely trigger the speech recognition system and interfere with the recognition of valid input speech. An echo model has been proven to alleviate this fairly common problem and to be effective in eliminating such false triggering. Further, this automatic speech recognition system enhanced the recognition of valid speech was provided within an existing hidden Markov modeling framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.