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Verified signatureProject title Engine sound classification — diagnostic model Short description (1–2 sentences) Train a robust audio classification model to identify and classify engine sounds into diagnostic categories (e.g., Normal, Bearing_Fault, Misfire, Knocking, Belt_Slip, Unknown). The model should work on single short audio clips (1–10 seconds), tolerate background noise, and output probabilities for each class. Detailed project description / objective We want an automatic audio-based diagnostic model that, given a short recording of an engine or machine, returns the most likely fault class and a confidence score. The model must: Distinguish normal engine operation from several distinct fault types (listed below). Work with recordings captured on smartphones or simple field recorders (variable SNR). Provide top-3 predictions with probabilities and a recommended single label (highest probability). Be robust to moderate background noise, small variations in microphone and distance to engine…ec1bf8d -
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