Sounding Industry: Challenges and Datasets for Industrial Sound Analysis

Author:

Grollmisch Sascha1,Abesser Jakob2,Liebetrau Judith1,Lukashevich Hanna2

Affiliation:

1. Industrial Media Applications Fraunhofer IDMT,Ilmenau,Germany

2. Semantic Music Technologies Fraunhofer IDMT,Ilmenau,Germany

Publisher

IEEE

Cited by 29 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. More than spectrograms: Deep representation learning for machinery fault detection;Applied Acoustics;2024-11

2. Acoustic data acquisition and integration for semantic organization of sentimental data and analysis in a PWSN;Multimedia Tools and Applications;2024-09-13

3. Agent-SwinPyramidNet: an enhanced deep learning model with AMTCF-VMD for anomaly detection in oil and gas pipelines;International Journal of Intelligent Computing and Cybernetics;2024-08-29

4. Split Learning-based Sound Event Detection in Energy-Constrained Sensor Devices;2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2024-05-13

5. Sound Database of Industrial Machine for Audio Anomaly Detection;Lecture Notes in Networks and Systems;2024

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