activity
20172022
most citedA Deep Multimodal Approach for Cold-start Music Recommendation

80 citations · 332 across the 29 of their papers we have counts for

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28 papers · 1 filter

cs.SD20223 cited

Score difficulty analysis for piano performance education based on fingering

Pedro Ramoneda, Nazif Can Tamer, Vsevolod Eremenko +2

In this paper, we introduce score difficulty classification as a sub-task of music information retrieval (MIR), which may be used in music education technologies, for personalised…

cs.SD2021

Soundata: A Python library for reproducible use of audio datasets

Magdalena Fuentes, Justin Salamon, Pablo Zinemanas +6

Soundata is a Python library for loading and working with audio datasets in a standardized way, removing the need for writing custom loaders in every project, and improving reprodu…

cs.SD2021

LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters

Pritish Chandna, António Ramires, Xavier Serra +1

Loops, seamlessly repeatable musical segments, are a cornerstone of modern music production. Contemporary artists often mix and match various sampled or pre-recorded loops based on…

cs.SD2021

Self-Supervised Learning from Automatically Separated Sound Scenes

Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis +7

Real-world sound scenes consist of time-varying collections of sound sources, each generating characteristic sound events that are mixed together in audio recordings. The associati…

cs.SD20211 cited

Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging

Andres Ferraro, Yuntae Kim, Soohyeon Lee +8

One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions…

cs.SD2020

Unsupervised Contrastive Learning of Sound Event Representations

Eduardo Fonseca, Diego Ortego, Kevin McGuinness +2

Self-supervised representation learning can mitigate the limitations in recognition tasks with few manually labeled data but abundant unlabeled data---a common scenario in sound ev…