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Found 4 papers, 3 papers with code
Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization
Failures or breakdowns in factory machinery can be costly to companies, so there is an increasing demand for automatic machine inspection.
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
The main challenge of this task is to detect unknown anomalous sounds under the condition that only normal sound samples have been provided as training data.
Anomalous sound detection based on interpolation deep neural network
However, when the target machine sound is non-stationary, a reconstruction error tends to be large independent of an anomaly, and its variations increased because of the difficulty of predicting the edge frames.
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
The purpose of releasing the MIMII dataset is to assist the machine-learning and signal-processing community with their development of automated facility maintenance.
