Biblio

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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.
Herrera, P., Serrà J., Laurier C., Guaus E., Gómez E., & Serra X. (2009).  The Discipline formerly known as MIR. International Society for Music Information Retrieval (ISMIR) Conference, special session on The Future of MIR (fMIR). Abstract
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Slizovskaia, O., Kim L., Haro G., & Gómez E. (2019).  End-to-End Sound Source Separation Conditioned On Instrument Labels. 2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
Bogdanov, D., Wack N., Gómez E., Gulati S., Herrera P., Mayor O., et al. (2013).  ESSENTIA: an Audio Analysis Library for Music Information Retrieval. International Society for Music Information Retrieval Conference (ISMIR'13). 493-498. Abstract
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Martorell, A., & Gómez E. (2014).  Hierarchical multi-scale set-class analysis. Journal of Mathematics and Music: Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance. 1-14. Abstract
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