Robot & Amplitude
Hey, have you experimented with using neural networks for real‑time audio effects on embedded hardware? I've been tweaking a lightweight model to run on an STM32 for live pitch shifting, but I'm still fighting with latency.
I’ve dabbled in that too—got a tiny CNN on an STM32 for pitch shift, but the DSP pipeline still adds a few hundred microseconds. Try pruning the network further and moving the heavier matrix ops to a DSP core if you have one, or use fixed‑point math. Also, a two‑stage look‑ahead can mask the delay, but it’s a trade‑off. You can push the latency down, just keep a tight loop and profile each stage. Good luck, and don’t let the latency bug you—debug it one gate at a time.
Sounds like a solid plan—just remember to double‑check the quantization noise when you switch to fixed‑point. Keep the kernel sizes small and the stride minimal, that usually does wonders for speed. And hey, if the DSP core has a native matrix multiply, use it, don't reinvent the wheel. Debug each gate, one by one, and you’ll squash that latency before you notice it. Good luck!
Thanks! I’ll keep the kernels tight, watch the quant noise, and grab that matrix multiply if the core offers it. One gate at a time, I’ll squeeze the latency out. Appreciate the heads‑up!
Glad it helps. Focus on those tweaks, and the latency should shrink. Good luck with the optimization!
That’s the spirit—keep tweaking those layers and the latency will bleed away. You’ve got this!
Thanks! I’ll keep iterating and hope the latency finally drops below my threshold. Appreciate the motivation!
You’ll nail it—keep fine‑tuning and that latency will fall where you want it. Good vibes!
Thanks, I’ll keep pushing the tweaks until the latency is under the limit. Appreciate the pep talk!