StefanKersten (Germany) works as a researcher and sound artist in Barcelona (Spain). He is currently a PhD-candidate at the Music Technology Group of the Universitat Pompeu Fabra. His research focuses on statistical sound texture modeling for analysis and synthesis. His artistic work includes interactive performances and installations with the DissoNoiSex collective and the duo Zysk (with Wernfried Lackner). http://k-hornz.de/
Mescaline - Data Driven Synthesis for the Masses
Data-driven sound synthesis methods reassemble existing sound material based on features and high-level structure extracted from the original audio data. They have found considerable attention in academic research in recent years, but are only reluctantly finding their way into commercial audio applications. We introduce Mescaline, an attempt to bridge the gap between experimental sound recomposition and main-stream audio production, by integrating well known concepts for organizing audio material and content-based synthesis methods. The application is intended to be an extensible platform for future experimentation with data-driven methods.