Browsing by Author "Cuesta, Helena"

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  • Chandna, Pritish; Cuesta, Helena; Petermann, Darius; Gómez Gutiérrez, Emilia, 1975- (Frontiers, 2022)
    Choral singing in the soprano, alto, tenor and bass (SATB) format is a widely practiced and studied art form with significant cultural importance. Despite the popularity of the choral setting, it has received little attention ...
  • Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Chandna, Pritish (Sound and Music Computing, 2019)
    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 ...
  • Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Martorell Domínguez, Agustín; Loáiciga, Felipe (2018)
    Choir singers synchronize their fundamental frequency (f0) and timing when they perform together. In this work, we investigate several expressive characteristics of choir singing, with special emphasis on unison ...
  • Cuesta, Helena (2015-12-11)
    Music is perceived as an organized entity where the information is divided in different parts or segments. People with musical training are able to classify these segments according to their musical content or their ...
  • Rodríguez, Sonia; Gómez Gutiérrez, Emilia, 1975-; Cuesta, Helena (Folk Music Analysis, 2018)
    This work deals with the automatic transcription and characterization of flamenco guitar, with a focus on short melodic interludes improvised between sung verses. These are called falsetas in the flamenco argot and are ...
  • Mallol Ragolta, Adrià; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Schuller, Björn (International Speech Communication Association (ISCA), 2021)
    The aim of this contribution is to automatically detect COVID19 patients by analysing the acoustic information embedded in coughs. COVID-19 affects the respiratory system, and, consequently, respiratory-related signals ...
  • Cuesta, Helena (Universitat Pompeu Fabra, 2022-03-28)
    Ensemble singing is a well-established practice across cultures, found in a great diversity of forms, languages, and levels. However, it has not been widely studied in the field of Music Information Retrieval (MIR), likely ...
  • Chandna, Pritish; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    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 ...
  • Petermann, Darius; Chandna, Pritish; Cuesta, Helena; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    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, ...
  • Mallol Ragolta, Adrià; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Schuller, Björn (International Speech Communication Association (ISCA), 2022)
    This work presents an outer product-based approach to fuse the embedded representations learnt from the spectrograms of cough, breath, and speech samples for the automatic detection of COVID-19. To extract deep learnt ...
  • Cuesta, Helena; McFee, Brian; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    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 ...
  • Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975- (Ubiquity Press, 2022)
    This paper deals with the automatic transcription of four-part, a cappella singing, audio performances. In particular, we exploit an existing, deep-learning based, multiple F0 estimation method and complement it with two ...

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