Fire Texture Sound Re-Synthesis Using Sparse Decomposition and Noise Modelling

TitleFire Texture Sound Re-Synthesis Using Sparse Decomposition and Noise Modelling
Publication TypeConference Paper
Year of Publication2012
Conference NameInternational Conference on Digital Audio Effects (DAFx12)
AuthorsKersten, S., & Purwins P.
AbstractIn this paper we introduce a framework that represents environmental texture sounds as a linear superposition of independent foreground and background layers that roughly correspond to entities in the physical production of the sound. Sound samples are decomposed into a sparse representation with the matching pursuit algorithm and a dictionary of Daubechies wavelet atoms. An agglomerative clustering procedure groups atoms into short transient molecules. A foreground layer is generated by sampling these sound molecules from a distribution, whose parameters are estimated from the input sample. The residual signal is modelled by an LPC-based source-filter model, synthesizing the background sound layer. The capability of the system is demonstrated with a set of fire sounds.
preprint/postprint documenthttp://mtg.upf.edu/system/files/publications/kersten_purwins_dafx_2012.pdf
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