Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection-Reference-Cited by-同舟云学术

Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection

Published:2024-04-26 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition
language:
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Author:

Meng Xinxin¹^ORCID,Guo Jiangtao¹^ORCID,Zhang Yunxiang²^ORCID,Huang Shun²^ORCID

Affiliation:

1. Information and Communication Company, State Grid Xinjiang Electronic Power Company, China

2. School of Computer Science and Technology, Xinjiang university, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3663976.3664242

Reference28 articles.

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4. Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, and Yohei Kawaguchi. 2022. MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task. arXiv preprint arXiv:2205.13879 (2022).

5. Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter. 2017. Audioset: An ontology and human-labeled dataset for audio events. In ICASSP. IEEE, 776–780.