Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks

Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks

Sound event detection and classification present significant challenges, particularly in noisy environments with multiple overlapping sources. This paper introduces an innovative architecture for multiple sound event detection and classification utilizing recurrent spiking neural networks (SNNs). Ou...

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Bibliographic Details
Main Authors: Zahra Roozbehi, Ajit Narayanan, Mahsa Mohaghegh, Samaneh-Alsadat Saeedinia
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Sound classification
spiking neural network
Tempotron
audio signal power
detection
multiple sound sources
Online Access:https://ieeexplore.ieee.org/document/10973233/
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https://ieeexplore.ieee.org/document/10973233/

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