Multiple-Channel Audio Construction Equipment Dataset Preparation for Sound Detection and Localization to Prevent Collision Hazards-Reference-Cited by-同舟云学术

Multiple-Channel Audio Construction Equipment Dataset Preparation for Sound Detection and Localization to Prevent Collision Hazards

Published:2024-03-18 Issue: Volume:26 Page:487-496
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Elelu Kehinde¹²³,Le Tuyen¹²³,Le Chau¹²³

Affiliation:

1. Glenn Civil Engineering Dept., Clemson Univ.. ORCID: .

2. Assitance Professor, Glenn Civil Engineering Dept., Clemson Univ.

3. Assitant Professor, Dept. of Civil, Construction, and Environmental Engineering, North Dakota State Univ.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485293.049

Reference25 articles.

1. Adavanne S. Politis A. Nikunen J. and Virtanen T. (2018). Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. https://doi.org/10.1109/JSTSP.2018.2885636.

2. Proactive proximity monitoring with instance segmentation and unmanned aerial vehicle‐acquired video‐frame prediction

3. Cantzos, D. (2008). Statistical enhancement methods for immersive audio environments and compressed audio [University of Southern California PP - United States -- California]. In ProQuest Dissertations and Theses. http://libproxy.clemson.edu/login?url=https://www.proquest.com/dissertations-theses/statistical-enhancement-methods-immersive-audio/docview/304468450/se-2?accountid=6167.

4. Application of RFID technology to prevention of collision accident with heavy equipment

5. Chen L. Yu M. Su D. and Yu D. (2019). Multi-band PIT and Model Integration for Improved Multi-channel Speech Separation. ICASSP 2019-2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 705–709. https://doi.org/10.1109/ICASSP.2019.8682470.