Resources

Publications

Cholevas, Michail and Abramovay, Juliano. "Makampedia: Unveiling the Locally Rhythmical and Metric character of Free Rhythm Taksim Improvisations with the Use of Musical Analysis". Paper presented at the 5th International Conference on Analytical Approached to World Music AAWM 2018, Thessaloniki, Greece, June 26 – June 29, 2018.


Conference Long Abstracts 




Cholevas, Michail. 2017. "Locally rhythmical and metric organisation of music phrases in free rhythm Taksim Improvisations." Paper presented at the 9th European Music Analysis Conference Euromac 2017, Strasbourg, France, June 28 –July 1, 2017.


Abstract




Cholevas Michalis and Abramovay Juliano. 2017. “Unveiling Taksim: Analytical Procedures Regarding Improvisational Forms on Makam Music”. Theory and Analysis graduate students’ conference, TAGS 2017, Bangor, UK


Program - Abstracts




Jones, Gareth, Kokotsaki Dimitra, Cholevas Michalis 2016. “Creative music listening - its potential in generating emotion and acting as a stimulus for creative writing”. 32nd World Conference International Society for Music Education Glasgow, UK 24-29 July, Glasgow, UK


Conference Poster




Cholevas, Michalis. 2014. "Makam: Modality and style in Turkish art music." In Mikrotonalität - Praxis und Utopie, edited by Pätzold, Cordula and Walter, Caspar Johannes, 197-203. Stuttgart: Schott Music.


Article




Cholevas, Michalis. 2009. "Microharmonics: Integrating Harmony and Microtonality By Playing Heterophonic Turkish Art And Folk Music (53 commas per octave) In Harmonic Environment." Master diss., Codarts, University for the arts.


Master Thesis


Software


iAnalyse by Pierre Couprie

http://logiciels.pierrecouprie.fr/?page_id=1796




Sonice Visualiser - Queens Mary University, London

https://www.sonicvisualiser.org


Chris Cannam, Christian Landone, and Mark Sandler, Sonic Visualiser: An Open Source Application for Viewing, Analysing, and Annotating Music Audio Files, in Proceedings of the ACM Multimedia 2010 International Conference.





Praat Software

https://www.fon.hum.uva.nl/praat/


Paul Boersma and David Weenink   
Phonetic Sciences, University of Amsterdam