A Two-Stage LSTM Based Approach for Voice Activity Detection with Sound Event Classification-Reference-Cited by-同舟云学术

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A Two-Stage LSTM Based Approach for Voice Activity Detection with Sound Event Classification

Published:2022-01-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Feng Yarong¹,Liu Zongyi Joe¹,Ling Yuan¹,Ferry Bruce¹

Affiliation:

1. Amazon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730107/9730121/09730179.pdf?arnumber=9730179

Reference7 articles.

1. A review of the recent advances in voice activity detection techniques for speech processing;honnatteppanavar;Critical Review,2020

2. Audio Set: An ontology and human-labeled dataset for audio events

3. Metrics for Polyphonic Sound Event Detection

4. PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

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. Noise-Free Audio Signal Processing in Noisy Environment: A Hardware and Algorithm Solution;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

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