Helena Cuesta

Research Scientist

< music + audio + ML + signal processing >

helenacuesta.hcm@gmail.com

Demos

In this page of the website you will find links to demos or examples mostly related to my PhD research.

1. Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks

Output examples and additional materials of the paper:

H. Cuesta, McFee, B., & E. Gómez (2020). Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR). Montreal, Canada (virtual), pp. 302-309.

2. Experiment with the song Tebe Poem and multi-F0 estimation

Jupyter notebook showcasing how different recording scenarios from the Dagstuhl ChoirSet can be exploited to evaluate multi-F0 estimation methods.

3. Thesis Appendix A: Comparison and evaluation of MPE, MPS, and VA models.

Jupyter notebook showcasing the performance of the models proposed for MPE, MPS, and VA of four-part vocal ensembles. This code and figures correspond to the appendix of the PhD thesis.
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