SW-WAVENET: Learning Representation from Spectrogram and Wavegram Using Wavenet for Anomalous Sound Detection-Reference-Cited by-同舟云学术

SW-WAVENET: Learning Representation from Spectrogram and Wavegram Using Wavenet for Anomalous Sound 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:

Chen Haihui¹,Ran Likai¹,Sun Xixia²,Cai Chao¹

Affiliation:

1. Huazhong University of Science and Technology,State Key Laboratory for Multispectral Information Processing Technologies, School of Artificial Intelligence and Automation,China

2. Nanjing University of Posts and Telecommunications,School of Internet of Things,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096742.pdf?arnumber=10096742

Reference22 articles.

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4. Description and discussion on dcase2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring;koizumi;Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020),2020

5. Adam: A method for stochastic optimization;kingma;International Conference on Learning Representations (ICLR),2015

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