jonnor/machinehearing
Machine Learning applied to sound
This project helps operations engineers, maintenance staff, and environmental monitors derive meaningful information from audio. It takes raw sound or compressed audio data from sensors and helps you classify sounds, detect specific events, or identify unusual acoustic patterns. Professionals who need to monitor machinery, understand noise sources, or assess how humans perceive sounds would find this valuable.
288 stars. No commits in the last 6 months.
Use this if you need to automatically interpret environmental sounds or machine noises for tasks like predictive maintenance, quality control, or noise pollution monitoring.
Not ideal if your primary goal is to analyze human speech, musical compositions, or require real-time processing without any machine learning component.
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288
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47
Language
Jupyter Notebook
License
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Last pushed
Jun 08, 2025
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