Helena Cuesta
Title
Cited by
Cited by
Year
Analysis of intonation in unison choir singing
H Cuesta, E Gómez Gutiérrez, A Martorell Domínguez, F Loáiciga
272018
Deep learning for singing processing: Achievements, challenges and impact on singers and listeners
E Gómez, M Blaauw, J Bonada, P Chandna, H Cuesta
arXiv preprint arXiv:1807.03046, 2018
142018
Deep learning based source separation applied to choir ensembles
D Petermann, P Chandna, H Cuesta, J Bonada, E Gómez
arXiv preprint arXiv:2008.07645, 2020
92020
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
H Cuesta, B McFee, E Gómez
arXiv preprint arXiv:2009.04172, 2020
82020
Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing
S Rosenzweig, H Cuesta, C Weiß, F Scherbaum, E Gómez, M Müller
Transactions of the International Society for Music Information Retrieval 3 (1), 2020
62020
A Framework for multi-f0 modeling in SATB choir recordings
H Cuesta, E Gómez, P Chandna
Proceedings of the 16th Sound & Music Computing Conference SMC 2019, 447-453, 2019
42019
Cough-based COVID-19 detection with contextual attention convolutional neural networks and gender information
A Mallol-Ragolta, H Cuesta, E Gómez, BW Schuller
22nd Annual Conference of the International Speech Communication Association …, 2021
32021
A deep learning based analysis-synthesis framework for unison singing
P Chandna, H Cuesta, E Gómez
arXiv preprint arXiv:2009.09875, 2020
22020
Automatic transcription of Flamenco guitar falsetas
S Rodríguez, E Gómez Gutiérrez, H Cuesta
Holzapfel A, Pikrakis A, editors. Proceedings of the 8th International …, 2018
22018
EIHW-MTG: second DiCOVA challenge system report
A Mallol-Ragolta, H Cuesta, E Gómez, BW Schuller
arXiv preprint arXiv:2110.09239, 2021
2021
EIHW-MTG DiCOVA 2021 Challenge System Report
A Mallol-Ragolta, H Cuesta, E Gómez, BW Schuller
arXiv preprint arXiv:2110.06543, 2021
2021
Choir Singers Pilot–An online platform for choir singers practice
M Gover, Á Sarasúa, H Parra, J Janer, O Mayor, H Cuesta, MP Pascual, ...
2021
Automatic structure detection and visualization in symphonic music
H Cuesta
2015
5 Music and Recording Sessions
C Weiß, S Rosenzweig, H Cuesta, F Scherbaum, E Gómez, M Müller
Computational Methods for Melody and Voice Processing in Music Recordings, 174, 0
Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies
H Cuesta, E Gómez
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Articles 1–15