This work presents a text-to-audio-retrieval system based on pre-trained...
The absence of large labeled datasets remains a significant challenge in...
Standard machine learning models for tagging and classifying acoustic si...
Unsupervised anomalous sound detection is concerned with identifying sou...
Convolutional Neural Networks (CNNs) have been successfully used in vari...
Data augmentation techniques have become standard practice in deep learn...
Distribution mismatches between the data seen at training and at applica...