Our ML paper on using birdsong for self-supervised learning for downstream industrial motor audio classification was accepted to ICML2020 Workshop - 'Self Supervision in Audio and Speech' July 17. Paper Link: https://t.co/bTo08gWmFG Workshop Schedule: https://t.co/IOxAa3shgP
For Audio ML fans interested in applying music domain features to industrial audio,
I share our poster, VROOM dataset and modeling notebooks presented at #WiML#NeurIPS2019 Major thanks to the WiML organizers. @WiMLworkshop https://t.co/GNNDoH82qc https://t.co/wgDrsqi2i8
Cool research by @SingingData and @NileWilsonBME@MSFTResearch able to detect proper machining speed, boat types, and plane types based on just audio. Inspired by master machinists who can hear when a weld is not good by just listening to it being created. #NeurIPS2019#NeurIPS
.@ctr4neurotech and CNC bioengineering PhD student @NileWilsonBME successfully defended her dissertation last week on improving brain-computer interfaces for better clinical and at-home use. Congratulations Nile!
CNT student member Nile Wilson will defend her Ph.D. dissertation (advisors: Ojemann/Rao) today in CSE2 Room 371. Her work focuses on improving brain-computer interfaces to increase the viability of these systems for clinical and at-home use.
A long read, but provides good background. Skeptical of the four year goal considering regulation and current electrodes approv for humans https://t.co/lqKGfnpvzz