Concatenative synthesis
2015-12-13 — 2017-01-16
Wherein timbral qualities are transferred from one sound to another using granular audio-mosaic techniques, and synthesis is achieved by concatenating analyzed grains drawn from a corpus.
Hilbert space
machine listening
making things
music
Transferring timbre from one sound to another; Synthesis by example. When you refer to “concatenative synthesis” or an “Audio mosaic,” you usually mean using a granular synthesis method. This being the epoch of neural networks, someone will probably get style transfer for audio functioning soon.
I’ve published in this area. See Mosaic Style Transfer using Sparse Autocorrelograms.
The most comprehensive overview of classic concatenative stuff IMO is contained in Graham Coleman’s doctoral dissertation, Coleman (2015), which frames it in terms of loss functions and descriptors.
There are a few classic implementations about.
Related: analysis-resynthesis, learning gamelan.
1 References
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Aucouturier, and Pachet. 2006. “Jamming with Plunderphonics: Interactive Concatenative Synthesis of Music.” Journal of New Music Research.
Blumensath, and Davies. 2004. “On Shift-Invariant Sparse Coding.” In Independent Component Analysis and Blind Signal Separation.
———. 2006. “Sparse and Shift-Invariant Representations of Music.” IEEE Transactions on Audio, Speech and Language Processing.
Coleman. 2015. “Descriptor control of sound transformations and mosaicing synthesis.”
Collins. 2012. “Even More Errant Sound Synthesis.” In.
Collins, and Sturm. 2011. “Sound Cross-Synthesis and Morphing Using Dictionary-Based Methods.” In International Computer Music Conference.
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———. 2011. “State of the Art in Sound Texture Synthesis.” In Proceedings of DAFx-11.
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Sturm, Bob L. 2006. “Adaptive Concatenative Sound Synthesis and Its Application to Micromontage Composition.” Computer Music Journal.
Sturm, Bob L., Roads, McLeran, et al. 2009. “Analysis, Visualization, and Transformation of Audio Signals Using Dictionary-Based Methods.” Journal of New Music Research.
Sturm, B. L., Shynk, Daudet, et al. 2008. “Dark Energy in Sparse Atomic Estimations.” Trans. Audio, Speech and Lang. Proc.
Tachibana, Ono, and Sagayama. 2014. “Singing Voice Enhancement in Monaural Music Signals Based on Two-Stage Harmonic/Percussive Sound Separation on Multiple Resolution Spectrograms.” Audio, Speech, and Language Processing, IEEE/ACM Transactions on.