1994-03-29
1996-12-10
Sheikh, Ayaz R.
395 242, 395 23, 395 24, G10L 506, G10L 900
Patent
active
055839681
ABSTRACT:
A neural network for noise reduction for speech recognition in a noisy environment uses an algorithm for automatic network generation which automatically selects a suitable signal representation. Nodes may be added to the input layer of the neural network successively, with a new node being trained by calculating and minimizing a mapping error. A squared mapping error may be formed and the mapping error may be assigned a weight dependent on the importance of the vectors. In addition, a neural network that performs neural noise reduction by reducing, in a training phase, a mapping error between noise-free vectors at an output of the neural network and noise-reduced vectors at the output of the neural network using an iterative process, has the mapping error further reduced by additional information which is selected from a suitable signal representation at the input of the neural network.
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"A Cepstral Noise Reduction Multi-Layer Neural Network", H. Sorenson, ICASSP91, Toronto, Canada, May 14-17, 1991, pp. 933-936.
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A cepstral noise reduction multi-layer neural network Sorenson, ICASSP 91. 1991 International Conf. on Acoustics/14-17 May 1991, pp. 933-936.
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ALCATEL N.V.
Dorvil Richemond
Sheikh Ayaz R.
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