Trainable windows for SincNet architecture
Abstract SincNet architecture has shown significant benefits over traditional Convolutional Neural Networks (CNN), especially for speaker recognition applications. SincNet comprises parameterized Sinc functions as filters in the first layer followed by convolutional layers. Although SincNet is compa...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-01-01
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Series: | EURASIP Journal on Audio, Speech, and Music Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13636-023-00271-0 |