EETimes - Allowing Machines to Listen, and Understand

As we move towards more ubiquitous, always-on sensing and computing, power becomes increasingly important. There's perhaps no better an example of where this is important than the voice-activated devices on our desks, in our pockets, and distributed around our homes. As we saw last year, keyword spotting in particular is currently a target for all kinds of neuromorphic technologies. The 2020 winner of the Misha Mahowald Prize for Neuromorphic Engineering is Prof. Shih-Chii Liu and her team, who have been working on low-latency, low-power sensors for detecting speech. The dynamic audio sensors that Shih-Chii Liu and her team at the Institute of Neuroinformatics (INI) have been developing could eventually address this market.