Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Cuesta, Helena"'
We are investigating the broader concept of using AI-based generative music systems to generate training data for Music Information Retrieval (MIR) tasks. To kick off this line of work, we ran an initial experiment in which we trained a genre classif
Externí odkaz:
http://arxiv.org/abs/2311.09094
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 detection of COVID-19. To extract deep learnt representations from the spec
Externí odkaz:
http://arxiv.org/abs/2110.09239
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, respiratory-related signals have the potential to contain salient informat
Externí odkaz:
http://arxiv.org/abs/2110.06543
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 melody, there are slight timing and pitch deviations between the singers,
Externí odkaz:
http://arxiv.org/abs/2009.09875
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 challenges of ensemble singing, i.e., all melodic sources are vocals and sing
Externí odkaz:
http://arxiv.org/abs/2009.04172
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 ensembles consists of four parts; Soprano, Alto, Tenor and Bass (SATB), e
Externí odkaz:
http://arxiv.org/abs/2008.07645
Fundamental frequency (f0) modeling is an important but relatively unexplored aspect of choir singing. Performance evaluation as well as auditory analysis of singing, whether individually or in a choir, often depend on extracting f0 contours for the
Externí odkaz:
http://arxiv.org/abs/1904.05086
This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in terms of accuracy and sound quality, and the current challenges, such
Externí odkaz:
http://arxiv.org/abs/1807.03046
Publikováno v:
Interspeech 2022.
Comunicació presentada a Interspeech 2022, celebrat del 18 al 22 de setembre de 2022 a Inchon, Corea del Sud. This work presents an outer product-based approach to fuse the embedded representations learnt from the spectrograms of cough, breath, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a44c94326b23ba5f247200fbac878e
https://doi.org/10.21437/interspeech.2022-10291
https://doi.org/10.21437/interspeech.2022-10291
Autor:
Moreno Caballero, Leticia, Navas Campo, Raquel, Esteban Cuesta, Helena, Sainz Martínez, José María
Publikováno v:
In Revista de Senología y Patología Mamaria October-December 2022 35(4):337-339