Trainable windows for SincNet architecture

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...

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Bibliographic Details
Main Authors: Prashanth H C, Madhav Rao, Dhanya Eledath, Ramasubramanian C
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Trainable windows
SincNet architecture
Speaker recognition
Online Access:https://doi.org/10.1186/s13636-023-00271-0

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