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.
Gómez, E., & Bonada J. (2008).  Automatic Melodic Transcription of Flamenco Singing. Fourth Conference on Interdisciplinary Musicology (CIM08). Abstract
Gómez, F., Pikrakis A., Mora J., Díaz-Báñez J. M., & Gómez E. (2011).  Automatic Detection of Ornamentation in Flamenco Music. 4th International Workshop on Machine Learning and Music, Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011).
Gómez, E., Schedl M., Serra X., & Hu X. (2016).  Music Information Retrieval:
 Overview, Recent Developments and Future Challenges. 17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
Gómez, E., Grachten M., Hanjalic A., Janer J., Jordà S., Julià C. F., et al. (2013).  PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences. SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
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
Gouyon, F., Herrera P., Gómez E., Cano P., Bonada J., Loscos A., et al. (2008).  Content Processing of Music Audio Signals. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
Guaus, E., & Gómez E. (2005).  Storage and Retrieval of relevant information from music master classes. 36th conference of the International Association of Sound and Audiovisual Archives (IASA). Abstract
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