شماره ركورد :
16097
عنوان به زبان ديگر :
Coevolution of Input Sensors and Recognition System to Design a Very Low Computation Isolated, Word Speech Recognition System
پديد آورندگان :
Halavati R نويسنده , Bagheri Shouraki S نويسنده
از صفحه :
625
تا صفحه :
630
تعداد صفحه :
6
چكيده لاتين :
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.
شماره مدرك :
1199873
لينک به اين مدرک :
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