Patent
Pattern recognition method and apparatus
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TLDR
A general purpose pattern recognition method and apparatus comprises a hierarchical network of basic recognizers, each basic recognizer being capable of discriminating a particular feature at a lower level and providing outputs for higher levels of abstraction.Abstract:
A general purpose pattern recognition method and apparatus comprises a hierarchical network of basic recognizers, each basic recognizer being capable of discriminating a particular feature at a lower level and providing outputs for higher levels of abstraction. In a learning mode, a series of sample patterns having a feature are presented as input along with several near-miss patterns. The pattern recognition apparatus learns to recognize the feature by keeping track of which basic recognizers detect patterns containing the feature. In a recognition mode, the invention determines if a presented pattern has the feature by polling the basic recognizers. A summation algorithm calculates the likelihood that the presented pattern has a particular feature.read more
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References
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TL;DR: In this article, a large-scale network with a learning-with-a-teacher (L2Teacher) process is used for reinforcement of the modifiable synapses in the new large-size model, instead of the learning-without-a teacher process applied to a previous model.
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TL;DR: In this paper, the authors improved the performance of speech signal analysis for data reduction, as stored for synthesis or recognition, by using features including digital spectral analysis, reduction of channel data and bit allocation by selective summation of groups of contiguous data, and using the mean average of the log amplitude to find the deviation for each channel.