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Concatenative Music Composition Based on Recontexturalization Utilizing Rhythm Synchronous Music Releated Feature Extration

Authors Mikula, L.
Year 2008
Thesis Type Diploma thesis
Topic Audio Signal Processing
Abstract The aim of this diploma thesis is to design a software tool that makes a new kind of transformation of audio signals possible. This can subsequently be used to synthesize music from audio signal fragments (“Concatenative Music Synthesis“). Many applications, e.g. genre classification of music or generation of playlists etc., analyze and compare audio signals using coefficients (“features”) describing, for example, timbre and harmony properties. These features are extracted from the audio signal itself. This diploma thesis attempts a new approach to the re-synthesis of audio signals. As in a mosaic, an existing song is newly constructed from small parts (“frames”) of other songs already stored in a database. The length of the frames corresponds to musically meaningful units. For the implementation of the tool, suitable onset- and beat tracking methods are evaluated and the selection of suitable parameters describing the subjective semantic similarities is determined by listening tests.
Supervisors Sontacchi, A.