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Coevolution of input sensors and recognition system to design a very low computation isolated, word speech recognition system

Halavati, R ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. Publisher: Sharif University of Technology , 2007
  3. Abstract:
  4. 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. © Sharif University of Technology, December 2007
  5. Keywords:
  6. Embedded systems ; Intelligent systems ; Neural networks ; Sensors ; Artificially intelligent systems ; Human auditory system ; Word speech recognition system ; Artificial neural network ; Design method ; Evolutionary theory ; Sensor
  7. Source: Scientia Iranica ; Volume 14, Issue 6 , 2007 , Pages 625-630 ; 10263098 (ISSN)
  8. URL: http://scientiairanica.sharif.edu/article_2900.html