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Theses

Expressive sampling synthesis. Learning extended source-filter models from instrument sound databases for expressive sample manipulations

Henrik Hahn 1, 2
2 Analyse et synthèse sonores [Paris]
STMS - Sciences et Technologies de la Musique et du Son
Abstract : Within this thesis an imitative sound synthesis system will be introduced that is applicable to most quasi-harmonic instruments. The system bases upon single-note recordings that represent a quantized version of an instrument's possible timbre space with respect to its pitch and intensity dimension. A transformation method then allows to render sound signals with continuous values of the expressive control parameters which are perceptually coherent with its acoustic equivalents. A parametric instrument model is therefore presented based on an extended source-filter model with separate manipulations of a signal’s harmonic and residual components. A subjective evaluation procedure will be shown to assess a variety of transformation results by a direct comparison with unmodified recordings to determine how perceptually close the synthesis results are regarding their respective acoustic correlates.
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  • HAL Id : tel-01331028, version 1

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Henrik Hahn. Expressive sampling synthesis. Learning extended source-filter models from instrument sound databases for expressive sample manipulations. Signal and Image Processing. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066564⟩. ⟨tel-01331028⟩

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