A Convoloutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
| Main Authors: | Elyas Rashno, Ahmad Akbari, Babak Nasersharif |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3045661 |
Daftar Isi:
- 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.