Search Results for author: Erik Schmidt

Found 2 papers, 2 papers with code

Mood Classification Using Listening Data

1 code implementation22 Oct 2020 Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik Schmidt

The mood of a song is a highly relevant feature for exploration and recommendation in large collections of music.

Classification General Classification

End-to-end learning for music audio tagging at scale

4 code implementations7 Nov 2017 Jordi Pons, Oriol Nieto, Matthew Prockup, Erik Schmidt, Andreas Ehmann, Xavier Serra

The lack of data tends to limit the outcomes of deep learning research, particularly when dealing with end-to-end learning stacks processing raw data such as waveforms.

Sound Audio and Speech Processing

Cannot find the paper you are looking for? You can Submit a new open access paper.