Publications
2022 (4)Chandna P, Cuesta H, Petermann D, Gómez E. A Deep-Learning Based Framework for Source Separation, Analysis, and Synthesis of Choral Ensembles. Frontiers 2022; 2: 1-15. |
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Mallol-Ragolta A.; Cuesta H.; Gomez E.; Schuller B.W.. Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022; 2022-Sept(0): 2163-2167. |
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Cuesta H.; Gomez E.. Voice assignment in vocal quartets using deep learning models based on pitch salience. Transactions of the International Society for Music Information Retrieval 2022; 5(1): 99-112. |
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Mallol-Ragolta A, Cuesta H, Gomez E, Schuller B. Multi-type outer product-based fusion of respiratory sounds for detecting COVID-19. In: Ko H, Hansen JHL. Proceedings of Interspeech 2022. International Speech Communication Association; 2022. p. 2163-2167. |
2021 (1)Gover M, Sarasua Á, Parra H, Janer J, Mayor O, Cuesta H, Pascual MP, Gkiokas A, Gómez E. Choir Singers Pilot. An online platform for choir singers practice. In: TBD. Proceedings of the Web Audio Confernece 2021. 2021. p. 1-6. |
2020 (4)Rosenzweig S.; Cuesta H.; Weiß C.; Scherbaum F.; Gomez E.; Muller M.. Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing. Transactions of the International Society for Music Information Retrieval 2020; 3(1): 98-110. |
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Cuesta H, McFee B, Gómez E. Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. In: Laplante, A; Fujinaka, I. Late breaking/Demo of the 21st International Society for Music Information Retrieval Conference. 2020. p. 302-309. |
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Petermann D, Chandna P, Cuesta H, Bonada J, Gómez E. Deep Learning Based Source Separation Applied To Choir Ensembles. In: Laplante, A; Fujinaka, I. Late breaking/Demo of the 21st International Society for Music Information Retrieval Conference. 2020. p. 733-739. |
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Chandna P, Cuesta H, Gómez E. A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. In: Laplante A, Fujinaga I. Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR). Montreal: International Society for Music Information Retrieval (ISMIR); 2020. p. 598-604. |
2019 (1)Cuesta H, Gómez E, Chandna P. A Framework for multi-f0 Modeling in SATB Choir Recordings. In: -. Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). 2019. p. 447-453. |
2018 (4)Cuesta H, Gómez E, Martorell A, Loaiciga F. Analysis of Intonation in Unison Choir Singing. In: AA.VV.. 15th International Conference on Music Perception and Cognition (ICMPC). 2018. |
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Gomez E, Blaauw M, Bonada J, Chandna P, Cuesta H. Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. In: AA.VV.. 2018 Joint Workshop on Machine Learning for Music. arXiv.org; 2018. p. 1-6. |
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Rodríguez S, Gómez E, Cuesta H. Automatic Transcription of Flamenco Guitar Falsetas. In: AA. VV. International Workshop on Folk Music Analysis 2018. Aristotle University of Thessaloniki, Greece; 2018. p. 55-60. |
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Cuesta H, Gómez E. Measuring Interdependence in Unison Choir Singing. In: Gómez E Hu X, Humphrey E Benetos E (eds.). Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018. DBLP; 2018. p. 1-2. |
2017 (1)Cuesta H, Gómez E. Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies (poster presentation). In: -. womENcourage 2017. ACM Europe Celebration of Women in Computing. 2017. |