55 citations · 188 across the 15 of their papers we have counts for
16 papers
Personalized musically induced emotions of not-so-popular Colombian music
Juan Sebastián Gómez-Cañón, Perfecto Herrera, Estefanía Cano +1
This work presents an initial proof of concept of how Music Emotion Recognition (MER) systems could be intentionally biased with respect to annotations of musically induced emotion…
Less is more: Faster and better music version identification with embedding distillation
Furkan Yesiler, Joan Serrà, Emilia Gómez
Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs). By learning to encode entire recordings i…
Deep Learning Based Source Separation Applied To Choir Ensembles
Darius Petermann, Pritish Chandna, Helena Cuesta +2
Choral singing is a widely practiced form of ensemble singing wherein a group of people sing simultaneously in polyphonic harmony. The most commonly practiced setting for choir ens…
Conditioned Source Separation for Music Instrument Performances
Olga Slizovskaia, Gloria Haro, Emilia Gómez
In music source separation, the number of sources may vary for each piece and some of the sources may belong to the same family of instruments, thus sharing timbral characteristics…
Content Based Singing Voice Extraction From a Musical Mixture
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
We present a deep learning based methodology for extracting the singing voice signal from a musical mixture based on the underlying linguistic content. Our model follows an encoder…
The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement
Juan Sebastián Gómez Cañón, Perfecto Herrera, Emilia Gómez +1
In the present study, we address the relationship between the emotions perceived in pop and rock music (mainly in Euro-American styles with English lyrics) and the language spoken…