research
∙
04/24/2023
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
In this work, we investigate an approach that relies on contrastive lear...
share
research
∙
04/01/2021
Enriched Music Representations with Multiple Cross-modal Contrastive Learning
Modeling various aspects that make a music piece unique is a challenging...
research
∙
01/30/2021
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
One of the main limitations in the field of audio signal processing is t...
research
∙
08/26/2020
The Freesound Loop Dataset and Annotation Tool
Music loops are essential ingredients in electronic music production, an...
research
∙
06/01/2020
Evaluation of CNN-based Automatic Music Tagging Models
Recent advances in deep learning accelerated the development of content-...
research
∙
03/16/2020
TensorFlow Audio Models in Essentia
Essentia is a reference open-source C++/Python library for audio and mus...
research
∙
11/12/2019
Artist and style exposure bias in collaborative filtering based music recommendations
Algorithms have an increasing influence on the music that we consume and...
research
∙
11/12/2019
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
Automatic tagging of music is an important research topic in Music Infor...
research
∙
03/28/2019
Skip prediction using boosting trees based on acoustic features of tracks in sessions
The Spotify Sequential Skip Prediction Challenge focuses on predicting i...
research
∙
01/08/2019
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
There are many offline metrics that can be used as a reference for evalu...
research
∙
01/02/2019
