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

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

Internet

https://ieeexplore.ieee.org/document/10679106/

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