A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition

27 Jan 2019 Elyas Rashno Ahmad Akbari Babak Nasersharif

Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition. In this research, a new convolutional neural network (CNN) model with data uncertainty handling; referred as NCNN (Neutrosophic Convolutional Neural Network); is proposed for classification task... (read more)

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