Sinc-convolutional layerThe decoding of brain signals is a fundamental component of a brain-computer interface. Despite the success of deep convolutional neural networks (CNNs) in other fields, only recently these techniques have been applied to electroencephalographs (EEG) signals. One drawback of...
a one-dimensional convolutional neural network that uses sinc functions in the first convolutional layer to discover meaningful filters in the audio signal, ... RV Sharan - 《Biomedical Signal Processing & Control》 被引量: 0发表: 2023年 Speaker Recognition from Raw Waveform with SincNet this goal...
Unlike a standard convolutional layer, only two parameters are employed for each Sinc filter, regardless of its length. For instance, if 𝐹=64F=64 and 𝑀=251M=251, the CNN layer employs approximately 16 K parameters. By contrast, a Sinc-convolution layer only employs 128 parameters. This...