@A.T.: Thanks a lot!

> Impressive. How about pairs of similar, 3-syllable and 4-syllable words?

Well, the general idea is to look at the frequency spectrum at each point
in time and try to classify it. Then link things together along the time
line.

Yes, it's still a lot of research TBD :)

But what I like about my approach is that everything can be nicely
visualized. I envision humans and AI developing algorithms together.

In the end, I expect a generated recognition algorithm to consist of about
a page of source code, plus a collection of audio samples.

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