SCIENCE | MUSIC

I am inspired by music technology both from engineering and artistic points of view. I am interested in how it can help us in the development of novel ways of interacting with music, providing tools for its creation, and potentially challenging our understanding of it.

After persuing my Ph.D. I continued as a researcher and software developer at the Music Technology Group of Pompeu Fabra University in Barcelona, Spain. I work on audio analysis and semantic annotation of large-scale music and sound collections using signal processing and machine learning techniques.

I am the lead developer of Essentia, an open-source C++/Python library for audio analysis and audio-based music information retrieval. My work includes design and implementation of new audio analysis algorithms, management, and documentation of the project.

I am also one of the coordinators of AcousticBrainz, an open database of music features extracted from audio, bridging the gap between audio analysis technology and the wider open music metadata community.

I serve as a supervisor in various industrial R&D projects held by Music Technology Group in collaboration with industrial partners.

See more about my work at https://dbogdanov.com/about/