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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01jw827b775
Title: Improved Audio Mosaicing Techniques for Sound Synthesis
Authors: Boik, Andrew
Advisors: Fiebrink, Professor
Department: Computer Science
Class Year: 2013
Abstract: An audio mosaic is a piece of audio generated algorithmically by resynthesizing a target sound from one or many source sounds. There has been much research into non-negative matrix factorization algorithms for separation of sound sources from mixed audio signals. These have been successful in breaking down an audio signal's spectrogram into a parts-based representation. We propose an algorithm which uses a non-negative matrix factorization algorithm to separate a source audio le into its latent components, then uses those components to resynthesize another piece of audio through tting by non-negative matrix factorization. We discuss techniques for improving the quality of our audio mosaics, and we provide an evaluation of these techniques on synthesizing audio mosaics from recorded music.
Extent: 65 pages
URI: http://arks.princeton.edu/ark:/88435/dsp01jw827b775
Access Restrictions: Walk-in Access. This thesis can only be viewed on computer terminals at the Mudd Manuscript Library.
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Computer Science, 1988-2016

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