International Business Machines Corporation
SOUND ANOMALY DETECTION USING DATA AUGMENTATION

Abstract:

Methods and systems for anomaly detection include training a neural network model to identify a form of data augmentation that has been performed on a waveform. Multiple forms of data augmentation are performed on a sample waveform to generate data augmentation samples. The data augmentation samples are classified with the neural network model. An anomaly score is determined based on the classification of the data augmentation samples.