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Conference Paper
Gómez, E., Bonada J., & Salamon J. (2012).  Automatic Transcription of Flamenco Singing from Monophonic and Polyphonic Music Recordings. III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
Sarasúa, Á., Melenhorst M., Julià C. F., & Gómez E. (2016).  Becoming the Maestro - A Game to Enhance Curiosity for Classical Music. 2016 8th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES). 1-4.
Bosch, J., Bittner R. M., Salamon J., & Gómez E. (2016).  A Comparison of Melody Extraction Methods Based on Source-Filter Modelling. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 571-577.
Bogdanov, D., Haro G. G., Fuhrmann F., Gómez E., & Herrera P. (2010).  Content-based music recommendation based on user preference examples. The 4th ACM Conference on Recommender Systems. Workshop on Music Recommendation and Discovery (Womrad 2010). Abstract
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.