Associate Professor, Artificial Creative Intelligence and Data Science (ACIDS) group, Sound Analysis / Synthesis team, Institute of Research and Coordination Acoustics / Music (IRCAM), CNRS UMR 9912 STMS, Sorbonne Université Paris - Invited professor, The University of Tokyo, Japan.
Philippe Esling received a Bachelor's degree in Mathematics and Computer Science in 2007, a Master's degree in Acoustics and Signal Processing in 2009, and a PhD in Data Mining and Machine Learning in 2012. He was also a postdoctoral fellow in the Department of Genetics, where he devised approaches for metagenomics and next-generation genetic sequencing at the University of Geneva in 2012. Currently, and since 2013, he is an associate professor at Sorbonne University and the IRCAM institute in the Sound Analysis / Synthesis team, where is a principal investigator on machine learning applied to music generation, and directs the recently created Artificial Creative Intelligence and Data Science (ACIDS) group at IRCAM. In the short span of his career, he has authored and co-authored over 25 peer-reviewed journal articles in prestigious journals. He won a Young Researcher Award in 2011 for his research on querying audio, and the General Council PhD award in 2013 for his research on mining multipurpose time series data, and won several Best Paper Awards since. His orchestration software, called Orchids, was commercialized in fall 2014. The software already has a community of thousands of users around the world, and songs by famous composers are performed at international venues. More recently, he devised several first-of-kind and cutting-edge technologies based on deep probabilistic machine learning applied to musical audio generation. These include the Neurorack (first embedded deep AI in Eurorack format), FlowSynth (a device for audio synthesizer control based on normalizing flows) and RAVE (a real-time deep audio transfer model, working at 48kHz and realtime on a CPU). His recent collaborations with his team and the composer Alexander Schubert were awarded the Golden Nica prize at the Ars Electronica 2022 festival.