y-kawagu/dcase2021_task2_baseline_ae
Autoencoder-based baseline system for DCASE2021 Challenge Task 2.
This project helps operations or maintenance engineers automatically detect abnormal sounds in industrial machinery like fans, gearboxes, or pumps. You provide recordings of both normal and potentially anomalous machine sounds. The system processes these audio files and outputs anomaly scores for each recording, helping you identify equipment that might be malfunctioning or require inspection.
No commits in the last 6 months.
Use this if you need to automatically monitor machine sounds to flag potential anomalies for predictive maintenance or quality control.
Not ideal if you're looking for a plug-and-play solution without needing to run Python scripts or download specific datasets.
Stars
27
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jun 09, 2021
Commits (30d)
0
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