Noise reduction system using neural network

Details Noise reduction system using neural network Noise reduction system using neural network

1989-12-12

1993-02-09

Fleming, Michael R.

Electrical audio signal processing systems and devices

Hearing aids, electrical

Specified casing or housing

395 22, 381 43, G01L 708, G01L 506

Patent

active

051858487

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.

REFERENCES:
patent: 4907274 (1990-03-01), Nomura et al.
patent: 4975961 (1990-12-01), Sakoe
"An Algorithm for Vector Quantizer Design", Linde et al., IEEE Trans on Comm. Jan. 1980.
"Noise Reduction Using Connectionist Models", Tamura et al, IEEE Proc. of ICASS p. 88, 1988.
"Vector Quantization: A Pattern-Matching Technique for Speech Coding", Allen Gersho and Valdimir Cupermand, IEEE, 1983.
"Parallel Distributed Processing", David Rumelhart and James McClelland, vol. 1, 1986.

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