Acoustic Pre-training with Contrastive Learning for Gunshot Recognition-Reference-Cited by-同舟云学术

Acoustic Pre-training with Contrastive Learning for Gunshot Recognition

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things
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Author:

Shen Xianjie¹^ORCID,Ma Saimin¹^ORCID,Yang Linlin¹^ORCID,Jiang Yubo¹^ORCID,Xiao Zhifeng¹^ORCID,Xu Shu¹^ORCID

Affiliation:

1. Nanhu Academy of Electronics And Information Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603781.3603908

Reference20 articles.

1. Tanav Aggarwal , Nonita Sharma , and Naveen Aggarwal . 2022. Gunshot Detection and Classification Using a Convolution-GRU Based Approach . In Proceedings of Emerging Trends and Technologies on Intelligent Systems: ETTIS 2022 . Springer , Singapore , 95–107. Tanav Aggarwal, Nonita Sharma, and Naveen Aggarwal. 2022. Gunshot Detection and Classification Using a Convolution-GRU Based Approach. In Proceedings of Emerging Trends and Technologies on Intelligent Systems: ETTIS 2022. Springer, Singapore, 95–107.

2. Improving efficiency and reliability of gunshot detection systems

3. Shahin Amiriparian , N Cummins , S Julka , and Björn Schuller . 2018 . Deep convolutional recurrent neural network for rare acoustic event detection . In Proc. DAGA. IEEE , Vancouver, BC, Canada, 1522–1525. Shahin Amiriparian, N Cummins, S Julka, and Björn Schuller. 2018. Deep convolutional recurrent neural network for rare acoustic event detection. In Proc. DAGA. IEEE, Vancouver, BC, Canada, 1522–1525.

4. CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification

5. Gunshot Detection Using Convolutional Neural Networks