Noise reduction system using neural network
US5185848A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 1989 |
| Grant date | Feb 9, 1993 |
| Priority date | — |
| Expiry date | Dec 12, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/0364
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A noise reduction system used for transmission and/or recognition of speech includes a speech analyzer for analyzing a noisy speech input signal thereby converting the speech signal into feature vectors such as autocorrelation coefficients, and a neural network for receiving the feature vectors of the noisy speech signal as its input. The neural network extracts from a codebook an index of prototype vectors corresponding to a noise-free equivalent to the noisy speech input signal. Feature vectors of speech are read out from the codebook on the basis of the index delivered as an output from the neural network, thereby causing the speech input to be reproduced on the basis of the feature vectors of speech read out from the codebook.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.