A Convoloutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Download or Read eBook A Convoloutional Neural Network model based on Neutrosophy for Noisy Speech Recognition PDF written by Elyas Rashno and published by Infinite Study. This book was released on with total page 6 pages. Available in PDF, EPUB and Kindle.
| Author | : Elyas Rashno |
| Publisher | : Infinite Study |
| Total Pages | : 6 |
| Release | : |
| ISBN-10 | : |
| ISBN-13 | : |
| Rating | : 4/5 ( Downloads) |
Book Synopsis A Convoloutional Neural Network model based on Neutrosophy for Noisy Speech Recognition by : Elyas Rashno
Book excerpt: 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.
