Jordi Bonada

Semi-supervised Learning for Singing Synthesis Timbre

Nov 05, 2020
Jordi Bonada, Merlijn Blaauw

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* 5 pages, 1 figure, submitted to ICASSP 2021

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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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Content Based Singing Voice Extraction From a Musical Mixture

Feb 17, 2020
Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez

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* 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain
* To be published in ICASSP 2020

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Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer

Oct 22, 2019
Merlijn Blaauw, Jordi Bonada

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* 5 pages, 1 figure, to be submitted to ICASSP 2020

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Data Efficient Voice Cloning for Neural Singing Synthesis

Feb 19, 2019
Merlijn Blaauw, Jordi Bonada, Ryunosuke Daido

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* Accepted to ICASSP 2019

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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

* 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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A Neural Parametric Singing Synthesizer

Aug 17, 2017
Merlijn Blaauw, Jordi Bonada

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