A framework for music analysis/resynthesis based on matrix factorization
نویسنده
چکیده
Spectrogram factorization is a recent and promising alternative to sinusoidal or source/filter modeling for analysis/resynthesis systems aimed at musical creation. This paper presents a framework designed to perform a wide range of sound manipulations based on Non-negative Matrix Factorization (NMF), including a set of new techniques for creating artificial cross-components not present in the original analyzed sound. The system can process individual sounds by modifying their internal structure, or can be used for a flexible type of cross-synthesis between two input sounds. The different processing modules are illustrated by a collection of sound examples available on a companion website.
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تاریخ انتشار 2014