Signal latent subspace: A new representation for environmental sound classification-Reference-Cited by-同舟云学术

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Signal latent subspace: A new representation for environmental sound classification

Published:2024-11 Issue: Volume:225 Page:110181
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Mahyub Maha^ORCID,Souza Lincon S.,Batalo Bojan^ORCID,Fukui Kazuhiro

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Reference50 articles.

1. Audio analysis for surveillance applications;Radhakrishnan,2005

2. Audio content analysis for unobtrusive event detection in smart homes;Vafeiadis;Eng Appl Artif Intell,2020

3. The implementation of low-cost urban acoustic monitoring devices;Mydlarz;Appl Acoust,2017

4. Environmental sound classification: a descriptive review of the literature;Bansal;Intell Syst Appl,2022

5. Soundnet: learning sound representations from unlabeled video;Aytar,2016

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1. Environmental sound classification using two-stream deep neural network with interactive time-frequency attention;Applied Acoustics;2025-09

2. A novel approach for autocorrelation-based classification of environmental audio signals using recurrent network and metaheuristic algorithms;Signal, Image and Video Processing;2025-05-27

3. Review on Sound-Based Industrial Predictive Maintenance: From Feature Engineering to Deep Learning;Mathematics;2025-05-23

4. Evaluating metric and contrastive learning in pretrained models for environmental sound classification;Applied Acoustics;2025-03

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