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CUEX: An algorithm for automatic extraction of expressive tone parameters in music performance from acoustic signals
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
2007 (English)In: Acta Acoustica united with Acustica, ISSN 1610-1928, E-ISSN 1861-9959, Vol. 93, no 3, 411-420 p.Article in journal (Refereed) Published
Abstract [en]

CUEX is an algorithm that from recordings of solo music performances extracts the tone parameters for tempo, sound level, articulation, onset velocity, spectrum, vibrato rate, and vibrato extent. The aim is to capture the expressive variations in a music performance, rather than to identify the musical notes played. The CUEX algorithm uses a combination of traditional methods to segment the audio stream into tones based on fundamental frequency contour and sound level envelope. From the resulting onset and offset positions, the different tone parameters are computed. CUEX has been evaulated using both synthesized performances and recordings of human performances. For the synthesized performances, tone recognition of 98.7% was obtained on average. The onset and offset precision was 8 ms and 20 ms, respectively, and sound level precision about 1 dB. For human performances, the recognition rate was 91.8 % on average. Various applications of the CUEX algorithm are discussed.

Place, publisher, year, edition, pages
2007. Vol. 93, no 3, 411-420 p.
Keyword [en]
music performance, expressive variations, feature extraction, music acoustics
National Category
Psychology Musicology Engineering and Technology
URN: urn:nbn:se:uu:diva-68947ISI: 000247404500010OAI: oai:DiVA.org:uu-68947DiVA: diva2:96858
Available from: 2007-06-26 Created: 2007-06-26 Last updated: 2016-04-27

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Juslin, Patrik N
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