Paris Smaragdis

Paris Smaragdis is a Professor at the Massachusetts Institute of Technology, holding a shared appointment with the Department of Music & Theater Arts (MTA). Their research focuses on Artificial Intelligence + Machine Learning, Natural Language and Speech Processing, and Signal Processing. Smaragdis is affiliated with the Electrical Engineering and Computer Science (EE) department and is based in the EECS Communication Lab. Their work contributes to the broader research areas within the MIT Schwarzman College of Computing, including AI and Society, AI for Healthcare and Life Sciences, and AI and Machine Learning. They can be contacted via email at paris@mit.edu or through their profile page at https://www.eecs.mit.edu/people/paris-smaragdis/.

Paris Smaragdis is a professor at the Massachusetts Institute of Technology, specializing in Audio Signal Processing, Computational Audition, Machine Learning, and Machine Listening. His research focuses on developing advanced techniques for audio analysis and source separation, including non-negative matrix factorization, deep learning, and probabilistic models. He has contributed significantly to polyphonic music transcription, monaural speech separation, and speech enhancement. His work explores both supervised and unsupervised methods for extracting sound sources from complex audio mixtures, with applications in surveillance and audio analysis. Smaragdis's research bridges signal processing and machine learning to improve audio understanding and processing.