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Cuesta, H., Gómez E., & Chandna P. (2019).  A Framework for Multi-f0 Modeling in SATB Choir Recordings. Sound and Music Computing Conference. 447-453. Abstract
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
Cuesta, H. (2017).  Pitch Estimation of Choir Music using Deep Learning Strategies: from Solo to Unison Recordings. Abstract
Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
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Gomez, E., Blaauw M., Bonada J., Chandna P., & Cuesta H. (2018).  Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
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Rodríguez, S., Gómez E., & Cuesta H. (2018).  Automatic Transcription of Flamenco Guitar Falsetas. International Workshop on Folk Music Analysis.
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