On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data
Author:
Affiliation:
1. Fraunhofer FKIE,Wachtberg,Germany,53343
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290003.pdf?arnumber=10290003
Reference35 articles.
1. Analyzing the Potential of Pre-Trained Embeddings for Audio Classification Tasks
2. Analyzing a Portion of the ROC Curve
3. Analysis of Feature Representations for Anomalous Sound Detection
4. Toward Open Set Recognition
5. Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
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1. Self-Supervised Learning for Anomalous Sound Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection?;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. Novel Generative Classifier for Acoustic Events;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
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