SG-VAD: Stochastic Gates Based Speech Activity Detection-Reference-Cited by-同舟云学术

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SG-VAD: Stochastic Gates Based Speech Activity Detection

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Svirsky Jonathan¹,Lindenbaum Ofir¹

Affiliation:

1. Bar-Ilan University,Faculty of Engineering,Ramat-Gan,Israel,5290002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096938.pdf?arnumber=10096938

Reference27 articles.

1. Creating havic: Heterogeneous audio visual internet collection;strassel;Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12),2012

2. AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies

3. Implicit reparameterization gradients;figurnov;Advances in neural information processing systems,2018

4. Reducing reparameterization gradient variance;miller;Advances in neural information processing systems,2017

5. Feature selection using stochastic gates;yamada;International Conference on Machine Learning,2020

Cited by 1 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. Small-Footprint Convolutional Neural Network with Reduced Feature Map for Voice Activity Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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