Sound Events Localization and Detection Using Bio-Inspired Gammatone Filters and Temporal Convolutional Neural Networks-Reference-Cited by-同舟云学术

Sound Events Localization and Detection Using Bio-Inspired Gammatone Filters and Temporal Convolutional Neural Networks

Published:2023 Issue: Volume:31 Page:2314-2324
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Jacome Karen Gissell Rosero¹^ORCID,Grijalva Felipe Leonel²^ORCID,Masiero Bruno Sanches¹^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil

2. Colegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito, Quito, Ecuador

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Universidad San Francisco de Quito

Poli-Grants Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10147311.pdf?arnumber=10147311

Reference44 articles.

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5. A dataset of dynamic reverberant sound scenes with directional interferers for sound event localization and detection;politis;Proc Detection Classication Acoustic Scenes Events,0

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