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Dynamics in Music Conducting: A Computational Comparative Study Among Subjects. ( , Ed.).International Conference on New Interfaces for Musical Expression. 195–200.(2014).
Beat Tracking from Conducting Gestural Data: A Multi-Subject Study. Proceedings of the 2014 International Workshop on Movement and Computing. 118–123.(2014).
Observed Differences in Rhythm between Performances of Classical and Jazz Violin Students. Stockholm Music Acoustics Conference 2013 and Sound and Music Computing Conference 2013.(2013).
Statistical Modeling of Bowing Control applied to Violin Sound Synthesis. IEEE Transactions on Audio, Speech, and Language Processing .(2010).
The Discipline formerly known as MIR. International Society for Music Information Retrieval (ISMIR) Conference, special session on The Future of MIR (fMIR).(2009).
Calibration method to measure accurate bow force for real violin performances . ( , Ed.).International Computer Music Conference. 251-254.(2009).
Audio content processing for automatic music genre classification: descriptors, databases, and classifiers. Department of Information and Communication Technologies.(2009).
Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract.(2009).
Measuring Violin Sound Radiation for Sound Equalization . Acoustics08.(2008).
The Quest for Musical Genres: Do the Experts and the Wisdom of Crowds Agree?. 9th International Conference on Music Information Retrieval.(2008).
Score Level Timbre Transformations of Violin Sounds. International Conference on Digital Audio Effects.(2008).
Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference.(2007).
A basic system for music genre classification. International Conference on Music Information Retrieval.(2007).
Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics.(2007).
Combining Performance Actions with Spectral Models for Violin Sound Transformation. International Congress on Acoustics.(2007).
Towards better automatic genre classifiers by means of understanding human decisions on genre discrimination. International Conference on Music Perception and Cognition. 326-327.(2006).
Music Genre Categorization in Humans and Machines. 121th AES Convention.(2006).
An Industrial-Strength Content-based Music Recommendation System. 28th Annual International ACM SIGIR Conference.(2005).
Storage and Retrieval of relevant information from music master classes. 36th conference of the International Association of Sound and Audiovisual Archives (IASA).(2005).
Content-based Music Audio Recommendation. ACM Multimedia.(2005).
The Rhythm Transform: Towards A Generic Rhythm Description. International Computer Music Conference. 1311.(2005).
Scalability issues in HMM-based Audio Fingerprinting. International Conference on Multimedia and Expo. 1, 735-738.(2004).
Amadeus A Scalable HMM-based Audio Information Retrieval System. First International Symposium on Control, Communications and Signal Processing. 731-734.(2004).
Industrial audio fingerprinting distributed system with CORBA and Web Services. 5th International Conference on Music Information Retrieval. 337-340.(2004).
A non-linear rhythm-based style classifcation for Broadcast Speech-Music Discrimination. 116th AES Convention.(2004).