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- W2273048397 abstract "Appropriate sensors are a crucial necessity for the success of recognition systems. Nature has always coevolved sensors and recognition systems and this can also be done in artificially intelligent systems. To get a very fast isolated word speech recognition system for a small embedded speech recognizer, an evolutionary approach has been used to create together the required sensors and appropriate recognition structures. The input sensors are designed and evolved through inspiration by the human auditory system and the classification is done by artificial neural networks. The resulting system is compared with a widely used speech recognition system, and the results are quite satisfactory." @default.
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- W2273048397 date "2007-12-01" @default.
- W2273048397 modified "2023-09-28" @default.
- W2273048397 title "COEVOLUTION OF INPUT SENSORS AND RECOGNITION SYSTEM TO DESIGN A VERY LOW COMPUTATION ISOLATED, WORD SPEECH RECOGNITION SYSTEM" @default.
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