Automatic Cloning of Recorded Sounds by Software Synthesizers

Any audio recording can be turned into a digital musical instrument by feeding it into an audio sampler. However, it is difficult to edit such a sound in musical terms or even to control it in real time with musical expression. This does not change much if a more sophisticated resynthesis method is applied. Many electronic musicians appreciate the direct and clear access to sound parameters a traditional analog synthesizer offers. Can one automatically generate a synthesizer setting that approximates a given audio recording and thus clone a given sound to be controlled with the standard functions of the particular synthesizer employed? Even though this problem seems highly complex, we demonstrate that its solution becomes feasible with today’s computer systems. We compare sounds on the basis of acoustic features known from Music Information Retrieval and apply a specialized optimization strategy to adjust the settings of VST instruments, which is sped up using multi-core processors and networked computers.

[1]  Una-May O'Reilly,et al.  Filter approximation using explicit time and frequency domain specifications , 2006, GECCO '06.

[2]  M. Kawamata,et al.  Evolutionary synthesis of digital filter structures using genetic programming , 2003, IEEE Trans. Circuits Syst. II Express Briefs.

[3]  Jörn Loviscach,et al.  Programming a Music Synthesizer through Data Mining , 2008, NIME.

[4]  Jonathan Foote,et al.  Content-based retrieval of music and audio , 1997, Other Conferences.

[5]  Jörn Loviscach,et al.  Automatic Adjustment of Off-the-Shelf Reverberation Effects , 2009 .

[6]  Malcolm J. Hawksford,et al.  The Application of Genetic Algorithms to Digital Audio Filters , 1995 .

[7]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[8]  Jörn Loviscach,et al.  Graphical Control of a Parametric Equalizer , 2008 .

[9]  Thomas Sikora,et al.  MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval , 2005 .

[10]  Tung-Kuan Liu,et al.  Optimal design of digital IIR filters by using hybrid taguchi genetic algorithm , 2006, IEEE Trans. Ind. Electron..

[11]  J. Grey Multidimensional perceptual scaling of musical timbres. , 1977, The Journal of the Acoustical Society of America.

[12]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[13]  Yu Yang,et al.  Cooperative Coevolutionary Genetic Algorithm for Digital IIR Filter Design , 2007, IEEE Transactions on Industrial Electronics.