Feature Genuinization based Residual Squeeze-and-Excitation for Audio Anti-Spoofing in Sound AI-Reference-Cited by-同舟云学术

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Feature Genuinization based Residual Squeeze-and-Excitation for Audio Anti-Spoofing in Sound AI

Published:2021-07-06 Issue: Volume: Page:
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Container-title:2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Ray Ruchira,Karthik Sanka,Mathur Vinayak,Kumar Prashant,G Maragatham,Tiwari Sourabh,Shankarappa Rashmi T

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9579467/9579470/09580127.pdf?arnumber=9580127

Cited by 4 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. A review of deep learning techniques in audio event recognition (AER) applications;Multimedia Tools and Applications;2023-06-14

2. Sound AI Engine for Detection and Classification of Overlapping Sounds in Home Environment;2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON);2023-02-24

3. Noise Robust ASV Spoof Detection Using Integrated Features and Time Delay Neural Network;SN Computer Science;2022-12-26

4. A Method for Voice Activity Detection using K-Means Clustering;2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);2022-10-03

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