The ongoing transition to renewable energy is increasing the share of
fl...
The energy sector is facing rapid changes in the transition towards clea...
Reinforcement Learning algorithms require a large number of samples to s...
Convolutional Neural Networks (CNNs) have had great success in many mach...
Connecting large libraries of digitized audio recordings to their
corres...
There has been a rapid growth of digitally available music data, includi...
Current models for audio--sheet music retrieval via multimodal embedding...
Score following is the process of tracking a musical performance (audio)...
Automated music playlist continuation is a common task of music recommen...
Within-Class Covariance Normalization (WCCN) is a powerful post-processi...
In this paper we present current trends in real-time music tracking (a.k...
This work addresses the problem of matching short excerpts of audio with...
In Acoustic Scene Classification (ASC) two major approaches have been
fo...
This paper addresses the matching of short music audio snippets to the
c...