“Signal Processing and AI: Changing the World”

Glad to announce the release of the paper “Fast and adaptive blind audio source separation using recursive Levenberg-Marquardt synchrosqueezing” by IRCAM‘s Dominique Fourer and Geoffroy Peeters during the highly acclaimed International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP) in Calgary, Canada.

This paper revisits the Degenerate Unmixing Estimation Technique (DUET) for blind audio separation of an arbitrary number of sources given two mixtures through a recursively computed and adaptive time-frequency representation.

Any more questions? Dig deeper and visit the IEEE ICASSP next week. Or wait for the paper download, soon to be released on our Publications site