This is an exploration of listeners association of gestures with musical sounds. The subjects listen to sounds that have been chosen for various salient features, and the tracing movements made by the subjects are recorded ...

We investigated how the action–sound relationships found in electric guitar performance can be used in the design of new instruments. Thirty-one trained guitarists performed a set of basic sound-producing actions (impulsive, ...

The paper addresses possibilities of extracting information from music-related actions, in the particular case of what we call sound-tracings. These tracings are recordings from a graphics tablet of subjects' drawings ...

With a specific focus on contemporary pop music, this dissertation frames a range of gender issues within an examination of audiovisual aesthetics and personal narrativity. Entering from the field of critical musicology, ...

In this paper we present some custom designed filters for real-time motion capture applications. Our target application is motion controllers, i.e. systems that interpret hand motion for musical interaction. In earlier ...

In 2016, only four of forty-seven DJs booked for Musikkfest, a festival in Oslo, Norway, were women. Following this, a local DJ published an objection to this imbalance in a local arts and entertainment magazine. Her ...

Nikolay Myaskovsky (1881–1950) was highly esteemed as a Soviet composer, only surpassed by Prokofiev and Shostakovich among his contemporaries, and in the West famous conductors like Stokowski and Furtwängler performed his ...

De siste ti årene har strømmetjenester og digitale plattformer nærmest overtatt distribusjonen av innspilt musikk. Hva har det gjort med norsk musikkbransje? I boka Fra plate til plattform: Norsk musikk ut i verden presenteres ...

This paper describes a multidisciplinary encounter with oral testimony archives and their incorporation in the artistic research project Intimal. It explores ways in which to creatively listen to stories which might be ...

Neural networks have been found suitable for virtual analog modeling applications. Several analog audio effects have been successfully modeled with deep learning techniques, using low-latency and conditioned architectures ...