GENERATING SIMULATED AUDIO SAMPLES FOR PREDICTIVE MODEL TRAINING DATA
Abstract:
An example method comprises identifying a plurality of zones of a spectrogram of an audio sample associated with an operation cycle of an imaging device, generating a set of audio models by transforming the audio sample to a power spectrum and identifying a plurality of audio features within the power spectrum and for the plurality of zones, generating a plurality of simulated audio samples using the set of audio models by adjusting an audio feature of the plurality of audio features, and outputting a set of training data including the audio sample and the plurality of simulated audio samples to train a predictive model indicative of a predicted failure of the imaging device.
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