Filters: Author is Esteban Maestre [Clear All Filters]
A Machine Learning Approach to Expressive Performance in Jazz Standards. ( , Ed.).Multimedia Data Mining and Knowledge Discovery.(2006).
Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.(2006).
Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference.(2007).
Adding Dynamic Smoothing to Mixture Mosaicing Synthesis. Spars11: Workshop on Signal Processing with Adaptive Sparse Structured Representations.(2011).
Augmenting Sound Mosaicing with Descriptor-driven Transformation. Digital Audio Effects.(2010).
Aural-based detection and assessment of real versus artiﬁcially synchronized string quartet performance. 3rd International Conference on Music & Emotion.(2013).
Automatic characterization of dynamics and articulation of expressive monophonic recordings. AES 118th Convention.(2005).
Calibration method to measure accurate bow force for real violin performances . ( , Ed.).International Computer Music Conference. 251-254.(2009).
Combining Performance Actions with Spectral Models for Violin Sound Transformation. International Congress on Acoustics.(2007).
Computational analysis of solo versus ensemble performance in string quartets: Dynamics and Intonation. 12th International Conference on Music Perception and Cognition.(2012).
Concatenative Synthesis of Expressive Saxophone Performance. Sound and Music Computing Conference.(2008).
Digital Modeling of Bridge Driving-Point Admittances from Measurements on Violin-Family Instruments. Stockholm Music Acoustics Conference 2013 & Sound and Music Computing Conference 2013.(2013).
Embodied music listening and making in context-aware mobile applications: the EU-ICT SAME Project. Gesture Workshop 2009..(2009).
Expressive Irish Fiddle Performance Model Informed with Bowing. International Computer Music Conference.(2008).
A Framework for Performer Identification in Audio Recordings. International Workshop on Machine Learning and Music - ECML-PKDD 09.(2009).
Gesture sampling for instrumental sound synthesis: violin bowing as a case study. International Computer Music Conference.(2010).
A hair ribbon deflection model for low-intrusiveness measurement of bow force in violin performance.. New Interfaces for Musical Creation (NIME 2011).(2011).
Identifying saxophonists from their playing styles. 30th AES Conference.(2007).
Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference.(2005).
A machine learning approach to expressive performance in jazz standards. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.(2004).
Measuring ensemble synchrony through violin performance parameters: a preliminary progress report. 2nd Workshop of Social Behavior in Music (SBM-2011/INTETAIN-2011).(2011).
Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics.(2007).
Measuring Violin Sound Radiation for Sound Equalization . Acoustics08.(2008).