Biblio
Filters: Author is Rafael Ramirez [Clear All Filters]
Genre Classification using Harmony Rules Induced from Automatic Chord Transcriptions.
International Society for Music Information Retrieval Conference. Abstract
(2009).
JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING.
ISMIR 2016.
(2016).
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).
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).
Air Violin: A Machine Learning Approach to Fingering Gesture Recognition.
MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
(2017).
Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music.
International Conference on New Music Concepts. Abstract
(2015).
Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach.
Department of Information and Communication Technologies. 158.
(2016).
BRAIN-ACTIVITY-DRIVEN REAL-TIME MUSIC EMOTIVE CONTROL.
3rd International Conference on Music & Emotion (ICME3).
(2013).
Computational Modelling of Ornamentation in Jazz Guitar Music.
International Symposium in Performance Science. 150-151.
(2015).
A Machine learning approach to discover rules for expressive performance actions in jazz guitar music.
Frontiers in Psycology. 7, 1965. Abstract
(2016).
Real Time Modeling of Emotions by Linear Regression.
MML 2013: Internatinal Workshop on Machine Learning and Music, ECML/PKDD .
(2013).
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).
Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms.
International Computer Music Conference/Sound and Music Computing Conference. Abstract
(2014).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2006).
Concatenative Synthesis of Expressive Saxophone Performance.
Sound and Music Computing Conference. Abstract
(2008).
Modeling and Synthesis of Expressive Performance.
Digital Music Research Network Workshop. Abstract
(2007).
Caracterización automática del cante flamenco a base de análisis de grabaciones..
Investigación y Flamenco (INFLA).
(2013).
Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006).
Gesture sampling for instrumental sound synthesis: violin bowing as a case study.
International Computer Music Conference. Abstract
(2010).
An approach to predicting bowing control parameter contours in violin performance.
Intelligent Data Analysis. 14(5), 587-599.
(2010).
Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings.
Computer Music Journal. 33(4), 23-42. Abstract
(2009).
Inducing rules of ensemble music performance: a machine learning approach.
3rd international conference on Music & Emotion, Jyväskylä.
(2013).
The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets.
Journal of New Music Research. 43, 303-317.
(2014).