On the Acoustic-Based Recognition of Multiple Objects Using Overlapped Impact Sounds

In a recent study, we have uncovered the potential of utilizing impact sounds generated when objects fall freely and strike a plane for acoustic-based object recognition (AOR). Building upon this discovery, we address the practical scenario where multiple objects fall simultaneously, leading to over...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Van-Thuan Tran, Wei-Ho Tsai
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Acoustic-based object recognition augmentation neural networks LEGO objects supervised contrastive learning transformer
Online Access:	https://ieeexplore.ieee.org/document/10679106/