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Making Machines Listen

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If you have a question about this talk, please contact Taylan Cemgil.

Enabling machines to perceive the world using various modalities is one of the holy grails of artificial intelligence. In this talk I will present some research on creating machines that do as such by listening. I will discuss some of the unique difficulties in this field and present a thread of research which spans a range of computational techniques relating to signal processing, machine learning and cryptography. This research will be introduced in the context of classic audio problems such as time/frequency analysis, music transcription, source separation, recognition in mixtures and more. I’ll show how this work generalizes and finds applications to other domains, such as computer vision, and what it takes to move it from the whiteboard to the real-world.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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