FMA: A dataset for music analysis
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
The lfm-1b dataset for music retrieval and recommendation
M Schedl - Proceedings of the 2016 ACM on international …, 2016 - dl.acm.org
We present the LFM-1b dataset of more than one billion music listening events created by
more than 120,000 users of Last. fm. Each listening event is characterized by artist, album …
more than 120,000 users of Last. fm. Each listening event is characterized by artist, album …
Music recommender systems
This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …
the distinctive characteristics of music, as compared to other kinds of media. We then …
Deep learning and music adversaries
An adversary is an agent designed to make a classification system perform in some
particular way, eg, increase the probability of a false negative. Recent work builds …
particular way, eg, increase the probability of a false negative. Recent work builds …
A simple method to determine if a music information retrieval system is a “horse”
BL Sturm - IEEE Transactions on Multimedia, 2014 - ieeexplore.ieee.org
We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …
Music similarity measurement and recommendation system using convolutional neural networks
M Sheikh Fathollahi, F Razzazi - International Journal of Multimedia …, 2021 - Springer
Due to the massive and growing volume of music on the internet, and the lack of proper
management on this massive volume, similarity and music recommendation systems have …
management on this massive volume, similarity and music recommendation systems have …
Machine learning for music genre: multifaceted review and experimentation with audioset
Music genre classification is one of the sub-disciplines of music information retrieval (MIR)
with growing popularity among researchers, mainly due to the already open challenges …
with growing popularity among researchers, mainly due to the already open challenges …
Ethical dimensions of music information retrieval technology
This article examines ethical dimensions of Music Information Retrieval (MIR) technology. It
uses practical ethics (especially computer ethics and engineering ethics) and socio …
uses practical ethics (especially computer ethics and engineering ethics) and socio …
[HTML][HTML] Masked conditional neural networks for sound classification
F Medhat, D Chesmore, J Robinson - Applied Soft Computing, 2020 - Elsevier
The remarkable success of deep convolutional neural networks in image-related
applications has led to their adoption also for sound processing. Typically the input is a time …
applications has led to their adoption also for sound processing. Typically the input is a time …
[HTML][HTML] One deep music representation to rule them all? A comparative analysis of different representation learning strategies
Inspired by the success of deploying deep learning in the fields of Computer Vision and
Natural Language Processing, this learning paradigm has also found its way into the field of …
Natural Language Processing, this learning paradigm has also found its way into the field of …