4 citations · 8 across the 4 of their papers we have counts for
8 papers · 1 filter
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…
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…
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features
Olga Slizovskaia, Emilia Gómez, Gloria Haro
The explainability of Convolutional Neural Networks (CNNs) is a particularly challenging task in all areas of application, and it is notably under-researched in music and audio dom…
A Vocoder Based Method For Singing Voice Extraction
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
This paper presents a novel method for extracting the vocal track from a musical mixture. The musical mixture consists of a singing voice and a backing track which may comprise of…
A Framework for Multi-f0 Modeling in SATB Choir Recordings
Helena Cuesta, Emilia Gómez, Pritish Chandna
Fundamental frequency (f0) modeling is an important but relatively unexplored aspect of choir singing. Performance evaluation as well as auditory analysis of singing, whether indiv…
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Was…