The amount and dissemination rate of media content accessible online is
...
Despite recent efforts by the Artificial Intelligence (AI) community to ...
Among the seven key requirements to achieve trustworthy AI proposed by t...
We present the results of a 12-week longitudinal user study wherein the
...
New emerging technologies powered by Artificial Intelligence (AI) have t...
The study of the ethical impact of AI and the design of trustworthy syst...
Conversational agents (CAs) embodied in speakers or chatbots are becomin...
DivinAI is an open and collaborative initiative promoted by the European...
Music listening in today's digital spaces is highly characterized by the...
This work presents an initial proof of concept of how Music Emotion
Reco...
This work presents an outer product-based approach to fuse the embedded
...
This paper aims to automatically detect COVID-19 patients by analysing t...
Version identification (VI) systems now offer accurate and scalable solu...
ACII is the premier international forum for presenting the latest resear...
Loops, seamlessly repeatable musical segments, are a cornerstone of mode...
Shared practices to assess the diversity of retrieval system results are...
The setlist identification (SLI) task addresses a music recognition use ...
Version identification systems aim to detect different renditions of the...
Unison singing is the name given to an ensemble of singers simultaneousl...
This paper addresses the extraction of multiple F0 values from polyphoni...
Music Recommender Systems (mRS) are designed to give personalised and
me...
Choral singing is a widely practiced form of ensemble singing wherein a ...
Separating different music instruments playing the same piece is a
chall...
Both acoustic and visual information influence human perception of speec...
A fairly straightforward approach for music source separation is to trai...
A fairly straightforward approach for music source separation is to trai...
The Fairness, Accountability, and Transparency in Machine Learning (FAT-...
We present a deep learning based methodology for extracting the singing ...
This paper provides an overview of the current and near-future applicati...
The lack of diversity of the Artificial Intelligence (AI) field is nowad...
We present a deep neural network-based methodology for synthesising
perc...
The version identification (VI) task deals with the automatic detection ...
In the present study, we address the relationship between the emotions
p...
The explainability of Convolutional Neural Networks (CNNs) is a particul...
Fundamental frequency (f0) modeling is an important but relatively unexp...
We present a deep neural network based singing voice synthesizer, inspir...
This paper presents a novel method for extracting the vocal track from a...
Can we perform an end-to-end sound source separation (SSS) with a variab...
This paper summarizes some recent advances on a set of tasks related to ...
This paper presents a multidisciplinary task approach for assessing the
...
This document contains the outcome of the first Human behaviour and mach...