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Helena Cuesta

Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks

Sep 09, 2020
Helena Cuesta, Brian McFee, Emilia Gómez

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* Accepted to the 21st International Society for Music Information Retrieval (ISMIR) Conference (2020)

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Deep Learning Based Source Separation Applied To Choir Ensembles

Aug 17, 2020
Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gomez

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* To appear at the 21st International Society for Music Information Retrieval Conference, Montr\'eal, Canada, 2020, audio examples available at: "https://darius522.github.io/satb-source-separation-results/"

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Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners

Jul 09, 2018
Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta

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* 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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