It's a unique idea that I could see being useful in select situations. The reliance on wearable microphones sounds like a downside. Also I guess this might be annoying for pets that can hear well beyond 20 kHz.
I've always liked scatter solutions for these kind of problems: import numpy as np def scatter_mean(index, value): sums = np.zeros(max(index)+1) counts = np.zeros(max(index)+1) for i in range(len(index)): j = index[i]…
It's a unique idea that I could see being useful in select situations. The reliance on wearable microphones sounds like a downside. Also I guess this might be annoying for pets that can hear well beyond 20 kHz.
I've always liked scatter solutions for these kind of problems: import numpy as np def scatter_mean(index, value): sums = np.zeros(max(index)+1) counts = np.zeros(max(index)+1) for i in range(len(index)): j = index[i]…