7,187 research outputs found
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 organizing large music collections. The community's
growing interest in feature and end-to-end learning is however restrained by
the limited availability of large audio datasets. The FMA aims to overcome this
hurdle by providing 917 GiB and 343 days of Creative Commons-licensed audio
from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a
hierarchical taxonomy of 161 genres. It provides full-length and high-quality
audio, pre-computed features, together with track- and user-level metadata,
tags, and free-form text such as biographies. We here describe the dataset and
how it was created, propose a train/validation/test split and three subsets,
discuss some suitable MIR tasks, and evaluate some baselines for genre
recognition. Code, data, and usage examples are available at
https://github.com/mdeff/fmaComment: ISMIR 2017 camera-read
The Topology of Music Recommendation Networks
We study the topology of several music recommendation networks, which rise
from relationships between artist, co-occurrence of songs in playlists or
experts' recommendation. The analysis uncovers the emergence of complex network
phenomena in this kind of recommendation networks, built considering artists as
nodes and their resemblance as links. We observe structural properties that
provide some hints on navigation and possible optimizations on the design of
music recommendation systems. Finally, the analysis derived from existing music
knowledge sources provides a deeper understanding of the human music similarity
perceptions.Comment: 15 pages, 3 figure
Download, Stream, or Somewhere in Between: The Potential for Legal Music Use in Podcasting
Podcasting is an increasingly popular new digital technology with the potential to be a great conduit of expression. Currently, the use of music is limited in podcasting due in large part to uncertainty as to what rights must be licensed before copyrighted music can be used legitimately. This iBrief examines what legal rights are implicated by podcasting by analyzing U.S. copyright law and comparing related technologies. This iBrief concludes that onerous licensing requirements are unnecessary, and for podcasting to realize its potential, a simple licensing framework must be established
Comparison of popular music in the United States and the United Kingdom: computerized analysis of 42,714 pieces
The present research employed computerised analyses of all those pieces to have achieved any degree of commercial success in either the United States or the United Kingdom in terms of energy, beats per minutes, and several emotion scores. Analyses showed differences between these two commercially-complete musical cultures in all variables except one of the emotion scores; that the relationship between popularity and each of the remaining variables was similar across the two countries; but that there were differences in the representation of genres. These findings indicate that it is possible to identify quantitative differences between musical cultures, and may have implications for ethnomusicology and the nascent digital music streaming industry
Language Ideologies, Choices, and Practices in Eastern African Hip Hop
Hip hop emerged as a musical and cultural force during the late 1970s in the United States and has followed a global trajectory ever since. Artists and fans around the world filter North American hip hop styles through their own local musical, social, and linguistic environments, making hip hop a highly visible (and audible) example of the intersection of global and local youth cultures. Young people in Tanzania and Malawi, neighboring African countries in the eastern region of the continent, are no exception to this creative process. Both countries have vibrant hip hop communities that draw on youth knowledge of international, as well as local and national, hip hop music and culture. Youth in the two countries listen to the same popular American stars and hold similar ideas about and interpretations of their lives and music. Yet, Tanzanian and Malawian hip hop scenes diverge in the social and cultural significance of local musical practices, which include performing as well as dancing, dressing, and talking about rap music. This tension between the similar and the different serves as an analytic backdrop for what follows
Folks in Folksonomies: Social Link Prediction from Shared Metadata
Web 2.0 applications have attracted a considerable amount of attention
because their open-ended nature allows users to create light-weight semantic
scaffolding to organize and share content. To date, the interplay of the social
and semantic components of social media has been only partially explored. Here
we focus on Flickr and Last.fm, two social media systems in which we can relate
the tagging activity of the users with an explicit representation of their
social network. We show that a substantial level of local lexical and topical
alignment is observable among users who lie close to each other in the social
network. We introduce a null model that preserves user activity while removing
local correlations, allowing us to disentangle the actual local alignment
between users from statistical effects due to the assortative mixing of user
activity and centrality in the social network. This analysis suggests that
users with similar topical interests are more likely to be friends, and
therefore semantic similarity measures among users based solely on their
annotation metadata should be predictive of social links. We test this
hypothesis on the Last.fm data set, confirming that the social network
constructed from semantic similarity captures actual friendship more accurately
than Last.fm's suggestions based on listening patterns.Comment: http://portal.acm.org/citation.cfm?doid=1718487.171852
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