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Axel Roebel is research director at IRCAM and head of the Sound Analysis-Synthesis team (AS). He received the Diploma in electrical engineering from Hannover University in 1990 and the Ph.D. degree (summa cum laude) in computer science from the Technical University of Berlin in 1993. In 1994 he joined the German National Research Center for Information Technology (GMD-First) in Berlin where he continued his research on adaptive modeling of time series of nonlinear dynamical systems. In 1996 he became assistant professor for digital signal processing in the communication science department of the Technical University of Berlin.

In 2000, he obtained a research scholarship at CCRMA, Standford University, where he started an investigation into adaptive sinusoidal modeling. In 2000 he joined the Sound Analysis-Synthesis team of IRCAM where he obtained his Habilitation from the Sorbonne Université in 2011 and where became research director in 2013. He has developed state of the art speech and music analysis and transformation algorithms, is the author numerous libraries for signal analysis, synthesis and transformation as for example SuperVP, a software for music and speech signal analysis and transformation that has been integrated in numerous professional audio tools. He has recently started to investigate signal processing algorithms based on deep learning. He has published more than 100 publications in international journals and conferences.

News A/S team

This presentation will focus on two topics: First, we will present the latest changes to the ISiS software (version 1.2.7) that will be made available during the Forum. Second, we will summarize the results of our work on statistical synthesis using deep convolutional networks. We will show that the method allows to reproduce a texture-like sound in a very natural way and we will discuss potential applications for cross synthesis.

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