Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Biblio
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Author
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Rafael Ramirez
(2017).
Air Violin: A Machine Learning Approach to Fingering Gesture Recognition
.
MIE’17, November 13, 2017, Glasgow, UK.
4.
Abstract
(2017).
Bowing Modeling for Violin Students Assistance
.
Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education.
60–62.
Abstract
(2017).
Phrase-Level Modeling of Expression in Violin Performances
.
Proceedings of the 10th International Workshop on Machine Learning and Music.
49–54.
Abstract
(2016).
Digital Musical Instruments for People with Physical Disabilities
.
Department of Information and Communication Technologies.
163.
(2016).
A Machine learning approach to discover rules for expressive performance actions in jazz guitar music
.
Frontiers in Psycology. 7,
1965.
Abstract
(2016).
Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach
.
Department of Information and Communication Technologies.
158.
(2016).
JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING
.
ISMIR 2016.
(2016).
The EyeHarp: A Gaze-Controlled Digital Musical Instrument
.
Frontiers in Psychology . 7,
(2015).
EEG Signal classification in a Brain-Computer Music Interface
.
8th International Workshop on Machine Learning and Music.
28-30.
(2015).
Is an auditory P300-based Brain-Computer Musical Interface feasible?
.
CMMR2015: International Workshop on BCMI.
(2015).
Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music
.
International Conference on New Music Concepts.
Abstract
(2015).
Computational Modelling of Ornamentation in Jazz Guitar Music
.
International Symposium in Performance Science.
150-151.
(2015).
A PERCUSSIVE MUSICAL INTERFACE FOR A QUADRIPLEGIC PATIENT
.
International Symposium on Performance Science 2015.
60-61.
(2015).
Musical neurofeedback for treating depression in elderly people
.
Frontiers in Neuroscience. 9
(354),
(2014).
Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms
.
International Computer Music Conference/Sound and Music Computing Conference.
Abstract
(2014).
P300 Harmonies: A Brain-Computer Musical Interface
.
International Computer Music Conference/Sound and Music Computing Conference.
Abstract
(2014).
The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets
.
Journal of New Music Research. 43,
303-317.
(2013).
Caracterización automática del cante flamenco a base de análisis de grabaciones.
.
Investigación y Flamenco (INFLA).
(2013).
Real Time Modeling of Emotions by Linear Regression
.
MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
(2013).
A High-Throughput Auditory P300 Interface for Everyone
.
12th European AAATE Conference.
478-482.
Abstract
(2013).
BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL
.
3rd International Conference on Music & Emotion (ICME3).
(2013).
Towards a Low Cost Mu-Rhythm Based BCI
.
Fifth International Brain-Computer Interface Meeting 2013.
(2013).
Inducing rules of ensemble music performance: a machine learning approach
.
3rd international conference on Music & Emotion, Jyväskylä.
(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..
(2012).
Temporal Control In the EyeHarp Gaze-Controlled Musical Interface
.
New Interfaces for Musical Expression (NIME) 2012.
Abstract
(2012).
A Brain-Gaze Controlled Musical Interface
.
Berlin BCI Workshop 2012 - Advances in Neurotechnology.
(2012).
A Rule-Based Evolutionary Approach to Music Performance Modeling
.
IEEE Transactions on Evolutionary Computation. 16
(1), 96 - 107.
Abstract
(2011).
Automatic Performer Identification in Celtic Violin Audio Recordings
.
Journal of New Music Research. 40
(2), 165-174.
Abstract
(2011).
THE EYEHARP: AN EYE-TRACKING-BASED MUSICAL INSTRUMENT
.
8th Sound and Music Computing Conference.
(2010).
An approach to predicting bowing control parameter contours in violin performance
.
Intelligent Data Analysis. 14
(5), 587-599.
(2010).
Automatic performer identification in commercial monophonic Jazz performances
.
Pattern Recognition Letters. 31
(12), 1514-1523.
(2010).
Gesture sampling for instrumental sound synthesis: violin bowing as a case study
.
International Computer Music Conference.
Abstract
(2010).
Modeling Violin Performances Using Inductive Logic Programming
.
Intelligent Data Analysis.
(2009).
Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings
.
Computer Music Journal. 33
(4), 23-42.
Abstract
(2009).
A Framework for Performer Identification in Audio Recordings
.
International Workshop on Machine Learning and Music - ECML-PKDD 09.
Abstract
(2009).
Genre Classification using Harmony Rules Induced from Automatic Chord Transcriptions
.
International Society for Music Information Retrieval Conference.
Abstract
(2008).
Concatenative Synthesis of Expressive Saxophone Performance
.
Sound and Music Computing Conference.
Abstract
(2008).
Expressive Irish Fiddle Performance Model Informed with Bowing
.
International Computer Music Conference.
Abstract
(2008).
Expressive Performance in the Human Tenor Voice
.
Sound and Music Computing Conference.
Abstract
(2008).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone
.
Computer Music Journal. 32,
38-50.
Abstract
(2008).
Genre Classification of Music by Tonal Harmony
.
International Workshop on Machine Learning and Music, International Conference on Machine Learning.
Abstract
(2008).
Melody Characterization by a Fuzzy Rule System
.
International Workshop on Machine Learning and Music, International Conference on Machine Learning.
Abstract
(2008).
Melody Characterization by a Genetic Fuzzy System
.
Sound and Music Computing Conference.
Abstract
(2008).
Modeling Celtic Violin Expressive Performance
.
International Workshop on Machine Learning and Music, International Conference on Machine Learning.
Abstract
(2008).
Performer Identification in Celtic Violin Recordings
.
International Conference on Music Information Retrieval.
Abstract
(2007).
An Evolutionary Computation Approach to Cognitive States Classification
.
IEEE Congress on Evolutionary Computing.
Abstract
(2007).
Modeling and Synthesis of Expressive Performance
.
Digital Music Research Network Workshop.
Abstract
(2007).
Modeling Expressive Performance in Classical Violin
.
Digital Music Research Network Workshop.
Abstract
(2007).
Performance-based Interpreter Identification in Saxophone Audio Recordings
.
IEEE Transactions on Circuits and Systems for Video Technology. 17,
356-364.
Abstract
(2006).
Automatic characterization of ornamentation from bassoon recordings for expressive synthesis
.
9th International Conference on Music Perception and Cognition.
Abstract
(2006).
A Machine Learning Approach to Expressive Performance in Jazz Standards
.
(
, Ed.).
Multimedia Data Mining and Knowledge Discovery.
Abstract
(2006).
Modeling Expressive Music Performance in Bassoon Audio Recordings
.
Intelligent Computing in Signal Processing and Pattern Recognition. 345,
951-957.
(2006).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming
.
European Workshop on Evolutionary Music and Art.
Abstract
(2006).
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance
.
Conference on Innovative Applications of Artificial Intelligence.
Abstract
(2006).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies
.
International Journal on Artificial Intelligence Tools. 15,
673-691.
Abstract
(2006).
Training a Classifier to Detect Instantaneous Musical Cognitive States
.
International Conference on Music Perception and Cognition.
Abstract
(2006).
Using concatenative synthesis for expressive performance in jazz saxophone
.
International Computer Music Conference.
Abstract
(2005).
An Approach to Expressive Music Performance Modeling
.
118th Audio Engineering Society Convention.
Abstract
(2005).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances
.
Journal of New Music Research. 34,
319-330.
Abstract
(2005).
Foafing the music: A music recommendation system based on RSS feeds and user preferences
.
6th International Conference on Music Information Retrieval (ISMIR).
464-467.
Abstract
(2005).
Getting music recommendations and filtering newsfeeds from FOAF descriptions
.
1st Workshop on Scripting for the Semantic Web co-located with the 2nd European Semantic Web Conference).
Abstract
(2005).
Intra-note Features Prediction Model for Jazz Saxophone Performance
.
International Computer Music Conference.
Abstract
(2005).
Modeling expressive music performance in jazz
.
International Florida Artificial Intelligence Research Society Conference.
Abstract
(2005).
Understanding expressive music performance using genetic algorithms
.
Lecture Notes in Computer Science 3449.
Abstract
(2004).
A machine learning approach to expressive performance in jazz standards
.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.
Abstract
(2004).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning
.
Sound and Music Computing Conference.
Abstract
(2004).
Inductive Logic Programming and Music
.
