Emergency Signal Classification for the Hearing Impaired using Multi-channel Convolutional Neural Network Architecture-Reference-Cited by-同舟云学术

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Emergency Signal Classification for the Hearing Impaired using Multi-channel Convolutional Neural Network Architecture

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Conference on Information and Communication Technology
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Author:

Padhy Swarup,Tiwari Juhi,Rathore Shivam,Kumar Neetesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9051888/9066105/09066252.pdf?arnumber=9066252

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. Sound Source Localization and Classification for Emergency Vehicle Siren Detection Using Resource Constrained Systems;2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA);2024-04-17

2. IoT based Wireless Alert System for Individuals with Impaired Hearing;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13

3. Automated Data Augmentation for Audio Classification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Automatic Audio Augmentation for Requests Sub-Challenge;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Review of Emergency Vehicle Detection Techniques by Acoustic Signals;Transactions of the Indian National Academy of Engineering;2023-09-15

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