Biblio
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The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement.
Workshop-Symposium on Research Methods in Music and Emotion. Abstract
(2019).
Analyzing Melodic Similarity Judgements in Flamenco a Cappella Singing.
International Conference on Music Perception and Cognition.
(2012).
(2002).
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).
(2011).
PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences.
SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
(2013).
Comparative Analysis of Music Recordings from Western and Non-Western traditions by Automatic Tonal Feature Extraction.
Empirical Musicology Review. 3(3), 140-156. Abstract
(2008).
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.
(2018).
(2006).
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).
(2008).
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
(2011).
(2006).
Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing.
13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
(2012).
Tonal description of polyphonic audio for music content processing.
INFORMS Journal on Computing, Special Cluster on Computation in Music. 18, Abstract
(2006).
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
(2012).
Music and geography: content description of musical audio from different parts of the world.
10th International Society for Music Information Retrieval Conference. Abstract
(2009).
(2003).
Music Information Retrieval:
Overview, Recent Developments and Future Challenges.
17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
(2016).
(2003).
Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms As Applied to A Cappella Singing.
Computer Music Journal. 37(2), 73-90.
(2013).
Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies.
5th International Society for Music Information Retrieval (ISMIR) Conference. 92-95. Abstract
(2004).
CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología.
V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA). Abstract
(2018).