Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study-Reference-Cited by-同舟云学术

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Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)
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Author:

Cantarini Michela,Brocanelli Anna,Gabrielli Leonardo,Squartini Stefano

Funder

Marche Region

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9552029/9552037/09552140.pdf?arnumber=9552140

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An advanced multimodal driver-assistance prototype for emergency-vehicle detection;Integrated Computer-Aided Engineering;2024-07-31

2. Comparison of Spectrograms for Classification of Vehicles from Traffic Audio;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20

3. Synthetic data generation techniques for training deep acoustic siren identification networks;Frontiers in Signal Processing;2024-07-12

4. Auditory Anomaly Detection using Recurrent Spiking Neural Networks;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

5. Detecting emergency vehicles With 1D-CNN using fourier processed audio signals;Measurement;2023-12

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