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Tuesday, November 19 • 15:50 - 16:40
Offloading audio and ML compute to specialised low power SoCs

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Likely audience
System designers, integrators and algorithm developers interested in building battery-powered audio and sensor hardware ranging from speaker boxes and mainstream consumer electronics, to toys, musical instruments and controllers.

Audio, speech and gestural interfaces have become ubiquitous on mobile and wireless devices. This has driven the development of innovative low-power DSPs, that offer real-time vector and matrix math, specialised for audio and sensor DSP/ML processing, at a fraction of the battery power consumption.

This talk will cover different perspectives on offloading power-hungry real-time processing from the application processor, to a highly energy-efficient SoC (System on Chip).

avatar for Vamshi Raghu

Vamshi Raghu

Senior Manager, Knowles
Currently lead the developer and integrator experience engineering teams at Knowles Intelligent Audio.In past lives, I helped create music games at Electronic Arts, game audio authoring tools at Audiokinetic, and enabled audio experience features for early stage startups.

Tuesday November 19, 2019 15:50 - 16:40 GMT
Upper River Room Puddle Dock, London EC4V 3DB