30 citations · 105 across the 16 of their papers we have counts for
19 papers
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
We present the results of a 12-week longitudinal user study wherein the participants, 110 subjects from Southern Europe, received on a daily basis Electronic Music (EM) diversified…
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof
David Fernández Llorca, Vicky Charisi, Ronan Hamon +2
New emerging technologies powered by Artificial Intelligence (AI) have the potential to disruptively transform our societies for the better. In particular, data-driven learning app…
Guidelines to Develop Trustworthy Conversational Agents for Children
Marina Escobar-Planas, Emilia Gómez, Carlos-D Martínez-Hinarejos
Conversational agents (CAs) embodied in speakers or chatbots are becoming very popular in some countries, and despite their adult-centred design, they have become part of children'…
Diversity in the Music Listening Experience: Insights from Focus Group Interviews
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
Music listening in today's digital spaces is highly characterized by the availability of huge music catalogues, accessible by people all over the world. In this scenario, recommend…
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…
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…
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…
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Isabelle Hupont, Songül Tolan, Ana Freire +3
ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conferenc…
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…
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…
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
Shared practices to assess the diversity of retrieval system results are still debated in the Information Retrieval community, partly because of the challenges of determining what…
Exploring Artist Gender Bias in Music Recommendation
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1
Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…
A Deep Learning Based Analysis-Synthesis Framework For Unison Singing
Pritish Chandna, Helena Cuesta, Emilia Gómez
Unison singing is the name given to an ensemble of singers simultaneously singing the same melody and lyrics. While each individual singer in a unison sings the same principle melo…
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
Helena Cuesta, Brian McFee, Emilia Gómez
This paper addresses the extraction of multiple F0 values from polyphonic and a cappella vocal performances using convolutional neural networks (CNNs). We address the major challen…
Vocoder-Based Speech Synthesis from Silent Videos
Daniel Michelsanti, Olga Slizovskaia, Gloria Haro +3
Both acoustic and visual information influence human perception of speech. For this reason, the lack of audio in a video sequence determines an extremely low speech intelligibility…
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…
Measuring Diversity of Artificial Intelligence Conferences
Ana Freire, Lorenzo Porcaro, Emilia Gómez
The lack of diversity of the Artificial Intelligence (AI) field is nowadays a concern, and several initiatives such as funding schemes and mentoring programs have been designed to…
Neural Percussive Synthesis Parameterised by High-Level Timbral Features
António Ramires, Pritish Chandna, Xavier Favory +2
We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds. This approach allows for i…
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…