Biblio
] Filters: Author is Xavier Serra [Clear All Filters]
(2016). Experimenting with Musically Motivated Convolutional Neural Networks.
14th International Workshop on Content-based Multimedia Indexing (CBMI 2016). Abstract
(2018). End-to-end learning for music audio tagging at scale.
19th International Society for Music Information Retrieval Conference (ISMIR2018). Abstract
(2019). Training neural audio classifiers with few data.
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
(2015). AcousticBrainz: a community platform for gathering music information obtained from audio.
16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
(2013). Dunya: A System for Browsing Audio Music Collections Exploiting Cultural Context.
14th International Society for Music Information Retrieval Conference (ISMIR 2013). 101-106. Abstract
(2016). Mining metadata from the web for AcousticBrainz.
3rd International Digital Libraries for Musicology workshop. 53-56. Abstract
(2014). An analysis and storage system for music research datasets.
1st International Digital Libraries for Musicology workshop. 1-3. Abstract
(2010). A look into the past: Analysis of trends and topics in the Sound & Music Computing Conference.
Sound and Music Computing Conference. Abstract
(2018). Nawba Recognition for Arab-Andalusian Music Using Templates From Music Scores.
Sound and Music Computing Conference. Abstract
(2006). Automatic characterization of ornamentation from bassoon recordings for expressive synthesis.
9th International Conference on Music Perception and Cognition. Abstract
(2008). Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing.
Physics of Life Reviews. 5(3), 169-182. Abstract
(2008). Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain.
Physics of Life Reviews. 5(3), 151-168. Abstract
(2019). Data augmentation for instrument classification robust to audio effects.
22nd International Conference on Digital Audio Effects (DAFx-19). Abstract
(2011). Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2006). A Machine Learning Approach to Expressive Performance in Jazz Standards.
(, Ed.).Multimedia Data Mining and Knowledge Discovery. Abstract
(2005). Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2012). A Rule-Based Evolutionary Approach to Music Performance Modeling.
IEEE Transactions on Evolutionary Computation. 16(1), 96 - 107. Abstract
(2008). A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2007). Performance-based Interpreter Identification in Saxophone Audio Recordings.
IEEE Transactions on Circuits and Systems for Video Technology. 17, 356-364. Abstract
(2010). Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(1998). Models estructurals per a una educació musical superior.
CODEXXI. 1,
(1999). The Musicians' Software Mall A Set of Composition and Performance Oriented Applications for Sound Synthesis.
International Computer Music Conference. Abstract
(2018). A Wavenet for Speech Denoising.
43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018). Abstract
(2015). Algorithms and representations for supporting online music creation with large-scale audio databases.
Department of Information and Communication Technologies. 181. Abstract
(2009). Freesound Radio: supporting music creation by exploration of a sound database.
Computational Creativity Support Workshop CHI09. Abstract
