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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, 1988-2020 |
Files in This Item:
File | Size | Format | |
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Andrew Boik.pdf | 603.73 kB | Adobe PDF | Request a copy |
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