Biblio
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(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).
(2013). PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences.
SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
(2008). Comparative Analysis of Music Recordings from Western and Non-Western traditions by Automatic Tonal Feature Extraction.
Empirical Musicology Review. 3(3), 140-156. Abstract
(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.
(2008). Comparative analysis of music recordings from western and non-western traditions by automatic tonal feature extraction and data mining.
4th Conference on Interdisciplinary Musicology (CIM08).
(2011). Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music.
(, Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
(2003). Audio Watermarking and Fingerprinting For Which Applications?.
Journal of New Music Research. 32, Abstract
(2013). BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL.
3rd International Conference on Music & Emotion (ICME3).
(2016). Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach.
Department of Information and Communication Technologies. 158.
(2016). A Machine learning approach to discover rules for expressive performance actions in jazz guitar music.
Frontiers in Psycology. 7, 1965. Abstract
(2013). Real Time Modeling of Emotions by Linear Regression.
MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
(2014). Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms.
International Computer Music Conference/Sound and Music Computing Conference. Abstract
(2015). Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music.
International Conference on New Music Concepts. Abstract
(2012). Modeling Embellishment, Timing and Energy Expressive Transformations in Jazz Guitar.
5th Internationa Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owners..
(2015). Computational Modelling of Ornamentation in Jazz Guitar Music.
International Symposium in Performance Science. 150-151.
