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MIT professor Paris Smaragdis's research group proposes to give machines auditory capabilities surpassing those of humans, and to apply this goal to scenarios such as speech recognition, music understanding, and environmental monitoring. His research covers machine learning for sound source separation, intelligent devices that can augment human auditory environments, and tools that help people understand, manipulate, analyze, and create music. Smaragdis joined MIT in 2025 and holds appointments in the Music and Theater Arts program and the Department of Electrical Engineering and Computer Science. This direction is still at the research advancement stage, and no subsequent progress has been disclosed.
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Paris Smaragdis proposes to make machines hear better than humans
Source:MIT News · Artificial Intelligence
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Oct 28
MIT News · Artificial Intelligence
MIT Professor Paris Smaragdis Builds Machine Hearing Systems That Can Listen and Discern
The research group of MIT Professor Paris Smaragdis is working to give machines hearing capabilities that surpass those of humans, for use in scenarios such as speech recognition, music understanding, and environmental monitoring. Their research covers machine learning for sound source separation, intelligent devices that can enhance human auditory environments, and tools that help people understand, manipulate, analyze, and create music. Smaragdis joined MIT in 2025 and holds appointments in the Music and Theater Arts program and the Department of Electrical Engineering and Computer Science.