Multiple Sound Source Localization in Three Dimensions Using Convolutional Neural Networks and Clustering Based Post-Processing

Multiple Sound Source Localization in Three Dimensions Using Convolutional Neural Networks and Clustering Based Post-Processing

Sound source localization methods are successfully applied for various estimation tasks, such as tracking and detecting objects, aiming cameras, and navigating robots. However, large and usually complex distributed microphone arrays are used for three-dimensional acoustic source localization. This s...

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Bibliographic Details
Main Authors: Saulius Sakavicius, Arturas Serackis, Vytautas Abromavicius
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Clustering
convolutional neural networks
microphone array
multiple sound sources
sound source localization
three-dimensional
Online Access:https://ieeexplore.ieee.org/document/9967991/

Internet

https://ieeexplore.ieee.org/document/9967991/

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