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I implemented an acoustic segmentation system in FPGA recently. The whole world model was a long list of known events and states with feasible transitions. Plus
by lnsru 2y ago
I implemented an acoustic segmentation system in FPGA recently. The whole world model was a long list of known events and states with feasible transitions. Plus novel things not observed before. Basically rather dumb state machine with machine learning part attached to acoustic sensors. Of course, both parts could be hidden behind weights. But state machine was easily readable and that was the biggest advantage of it.
- mnky9800n 2y agoWhy would an accounting system need acoustic sensors?
- lnsru 2y agoSorry. Terrible typo. Acoustic system was cheap though.
- mnky9800n 2y agoOh haha. I work on an acoustic detection project so I was quite excited about new applications. How exactly does your machine learning model work?
- lnsru 2y agoI would say, there was not much new in this. The key part of the project was the real time approach. Acquire samples, process them, find peaks, do FFTs, sum, multiply, divide. Get a float number, turn on the proper LEDs. The data was moved in C code between DMA blocks written in VHDL. Actually far away from optimized version. But it worked. IP does not belong to me and I would like to avoid technical details. The project was ended immediately when the company we worked for offered 25000€ for all IP created during the project. Very bad joke. I am still confused, because there was massive potential in this cooperation for everybody involved.