This work presents a text-to-audio-retrieval system based on pre-trained...
Domain shift is considered a challenge in machine learning as it causes
...
The ability to generalize to a wide range of recording devices is a cruc...
Solving tasks such as speaker recognition, music classification, or sema...
The success of supervised deep learning methods is largely due to their
...
Audio Spectrogram Transformer models rule the field of Audio Tagging,
ou...
The great success of transformer-based models in natural language proces...
Convolutional Neural Networks (CNNs) have been dominating classification...
In this paper, we study the performance of variants of well-known
Convol...
Deep Neural Networks are known to be very demanding in terms of computin...
Convolutional Neural Networks (CNNs) have been successfully used in vari...
Data augmentation techniques have become standard practice in deep learn...
We present CP-JKU submission to MediaEval 2019; a Receptive
Field-(RF)-r...
Acoustic scene classification and related tasks have been dominated by
C...
Distribution mismatches between the data seen at training and at applica...
Convolutional Neural Networks (CNNs) have had great success in many mach...
Diagnosis and risk stratification of cancer and many other diseases requ...