Aleksander Tidemann

Avdelingsingeniør og Lektor

English version of this page

E-post aleksander.tidemann@imv.uio.no

Telefon +47 93453901

Brukernavn

Besøksadresse Sem Sælands vei 2 ZEB-bygningen 0371 OSLO

Postadresse Postboks 1017 Blindern 0315 OSLO

Pressebilde Last ned visittkort

Ansvarsområder

Rom, spesialutstyr, studio, lab, infrastruktur, IT teknologi og media

Interessefelt

Musikkteknologi, Nettverksbasert samspill, web, lyd og musikkprogrammering

Undervisning

Bakgrunn

2019 - 2021 Mastergrad, Music Communication & Technology, Universitetet i Oslo (UiO), Oslo, Norge
- Masteroppgave i samarbeid med forskningsprosjektet MIRAGE
2015 - 2016 Årsstudium, Live Electronics, Norges Musikkhøgskole (NMH), Oslo, Norge
2013 - 2018 Bachelor, Musikkvitenskap, Universitetet i Oslo (UiO), Oslo, Norge
2012 - 2013 Årsstudium, Music & Sound Design, University of Technology (UTS), Sydney, Australia

Emneord: Ingeniør, Rom, Studio, Lab, Spesialutstyr, Infrastruktur, IT, Teknologi, Media

Støckert, Robin & Tidemann, Aleksander (2022). Hybrid Learning Spaces with Spatial Audio. International Conference on Systems, Signals, and Image Processing. ISSN 2157-8672. CFP2255E-ART, s. 1–4. doi: 10.1109/IWSSIP55020.2022.9854439.

Se alle arbeider i Cristin

Støckert, Robin & Tidemann, Aleksander (2022). Hybrid Learning Spaces with Spatial Audio.
Tidemann, Aleksander; Lartillot, Olivier & Johansson, Mats Sigvard (2021). Towards New Analysis And Visualization Software For Studying Performance Patterns in Hardanger Fiddle Music. Vis sammendrag
Analyzing musical performances is a challenging and emergent field of computational music research, aiming to reveal performance patterns and link them to musical contexts. There exists a modest amount of computational research on Hardanger fiddle performances. The MIRAGE research project is currently contributing to this scientific body, developing advanced MIR frameworks that build on recent musicological research. This paper presents the development and evaluation of two Max/MSP/Jitter software applications for music analysis and data visualization that integrate contemporary research perspectives on the complex rhythmical structuring of springar performances, investigating how we can design user-friendly computational tools that explore performance patterns in Hardanger fiddle music, in collaboration with MIRAGE. Based on a small questionnaire and a few operational tests, the study shows an interest in more effective software tools capable of revealing complex interrelations between musical dimensions in Hardanger fiddle performances. Additionally, the study highlights design considerations for tools aiming to increase the availability of computational music research in the field of musicology, such as cross-compatibility and integrated features that actively facilitate nuanced interpretation processes.
Tidemann, Aleksander (2021). Exploring Hardanger fiddle performance patterns through interactive tools.
Tidemann, Aleksander & Lartillot, Olivier (2021). Interactive tools for exploring performance patterns in hardanger fiddle music.