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OFAI-TR-2003-13 ( 632kB g-zipped PostScript file,  154kB PDF file)

Towards Automatic Analysis of Expressive Performance

Simon Dixon

We outline a system for automatic analysis of audio recordings of known musical works, by utilising the musical score to aid the signal processing algorithms. The proposed system matches the audio data to the score note by note, predicts the timing of future notes and then searches in the neighbourhood of the prediction to estimate the actual onset time. In this paper, we address possible signal processing approaches for processing solo piano music, and describe the planned architecture of the rest of the system. We present results of testing the signal processing algorithm on a performance of a Mozart piano sonata. The motivation for this work is the analysis of expressive performance, that is, measuring the subtle interpretative choices which distinguish the great masters of performance.

Keywords: audio content analysis, automatic transcription, musical performance

Citation: In Proceedings of the 5th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM5), Hanover, Germany, September 2003.