activity
20192022
most citedPerceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

30 citations · 105 across the 16 of their papers we have counts for

collaborators
Showing cs.SDShow all

7 papers · 1 filter

cs.SD2021

EIHW-MTG: Second DiCOVA Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This work presents an outer product-based approach to fuse the embedded representations generated from the spectrograms of cough, breath, and speech samples for the automatic detec…

cs.SD2021

EIHW-MTG DiCOVA 2021 Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This paper aims to automatically detect COVID-19 patients by analysing the acoustic information embedded in coughs. COVID-19 affects the respiratory system, and, consequently, resp…

cs.SD2021

Assessing Algorithmic Biases for Musical Version Identification

Furkan Yesiler, Marius Miron, Joan Serrà +1

Version identification (VI) systems now offer accurate and scalable solutions for detecting different renditions of a musical composition, allowing the use of these systems in indu…

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

Investigating the efficacy of music version retrieval systems for setlist identification

Furkan Yesiler, Emilio Molina, Joan Serrà +1

The setlist identification (SLI) task addresses a music recognition use case where the goal is to retrieve the metadata and timestamps for all the tracks played in live music event…

cs.SD2020

Multi-channel U-Net for Music Source Separation

Venkatesh S. Kadandale, Juan F. Montesinos, Gloria Haro +1

A fairly straightforward approach for music source separation is to train independent models, wherein each model is dedicated for estimating only a specific source. Training a sing…

cs.SD2019

Accurate and Scalable Version Identification Using Musically-Motivated Embeddings

Furkan Yesiler, Joan Serrà, Emilia Gómez

The version identification (VI) task deals with the automatic detection of recordings that correspond to the same underlying musical piece. Despite many efforts, VI is still an ope…