A novel handwritten Turkish letter recognition model based on convolutional neural network

Author(s):  
Abdullah Talha Kabakus ◽  
Pakize Erdogmus
2021 ◽  
Vol 2137 (1) ◽  
pp. 012060
Author(s):  
Ping He ◽  
Yong Li ◽  
Shoulong Chen ◽  
Hoghua Xu ◽  
Lei Zhu ◽  
...  

Abstract In order to realize transformer voiceprint recognition, a transformer voiceprint recognition model based on Mel spectrum convolution neural network is proposed. Firstly, the transformer core looseness fault is simulated by setting different preloads, and the sound signals under different preloads are collected; Secondly, the sound signal is converted into a spectrogram that can be trained by convolutional neural network, and then the dimension is reduced by Mel filter bank to draw Mel spectrogram, which can generate spectrogram data sets under different preloads in batch; Finally, the data set is introduced into convolutional neural network for training, and the transformer voiceprint fault recognition model is obtained. The results show that the training accuracy of the proposed Mel spectrum convolution neural network transformer identification model is 99.91%, which can well identify the core loosening faults.


Author(s):  
Shifeng Shang ◽  
Haiyan Liu ◽  
Qiang Qu ◽  
Guannan Li ◽  
Jie Cao

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 33080-33087
Author(s):  
Hongshuai Zhao ◽  
Haozhen Chu ◽  
Yuanyuan Zhang ◽  
Yu Jia

2021 ◽  
Author(s):  
Zexu Sun ◽  
Xiaoquan Han ◽  
Xiaobin Wu ◽  
Zebin Feng

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