This paper describes the use of a digital waveguide mesh which provides certain desirable components of the frequency response of the body of an instrument. An application for the violin is illustrated, showing that meshes can be designed to have a modal distribution which is psychoacoustically equivalent to the resonances of the violin body at high frequencies.

This paper presents a framework in which samples of bowing gesture parameters are retrieved and concatenated from a database of violin performances by attending to an annotated input score. Resulting bowing parameter signals are then used to synthesize sound by means of both a digital waveguide violin physical model, and an spectral-domain additive synthesizer.

Violin practice in a home environment, where there is often no teacher available, can benefit from automatic music transcription to provide feedback to the student. This paper describes a high performance violin transcription system with three main contributions. First, as onset detection is an important but challenging task for automatic transcription of pitched non-percussive music, such as f...

On top of previous work in automatic violin transcription we present a set of straight forward low level descriptors for assisting the transcription techniques and saving computational cost. Proposed descriptors have been tested against a database of 1500 violin notes and double stops.

iDVT (interactive Digital Violin Tutor) is a violin learning system exploiting physical and virtual resources and interactivity. It aims at providing the user with new effective learning experience. This demonstration paper briefly describes the structure of the system and the underlying audio-visual processing techniques employed in the system.

Sonatas for Pianoforte and Violin Ludwig van Beethoven (1770–1827), ed. Clive Brown Kassel: Bärenreiter, 2020 Two volumes (each with score/urtext violin part/performance part), pp. lxxv + 151/49/49, lxxvii 210/64/64, ISMN 979 0 006 56378 4 - Volume 19 Issue 1