I also wrote a rather interesting multi-stage asynchronous media pipeline that emulated Java/C# interfaces in C++, but that never made it past the prototype stage.
I love writing code and working on hard problems, but do I feel like working on them for 80 hours a week, every week? No, I enjoy having a life outside of work and a separation of work and home life is necessary.
So much this. I enjoy solving difficult problems, but I also enjoy a not using a computer.
Nor do I currently have any active open source projects on my Github account; because you know, I spent over ten years working on Syllable and frankly that was more than most people do in a lifetime, so I'm O.K with that.
Happily the sorts of companies I work for are O.K with that too, and prefer to judge me on my experience and work I produce professionally, rather than an irrelevant body of work that I produced in my spare time.
You could do this using FRS walkie talkies, as long as they have microphone and earphone connections. Or analog telephones. It's been tested multiple times on ham FM walkie talkies. Anything that carries voice should work. The bandwidth is only 1.25 kHz and I think the low end starts at about 700 Hz.
MOS is only for people who want to pay a lot of money. Of the automated processes, the one available to us isn't validated for less than 4K bps codecs.
It would be a great improvement to MOS if there was an open version of POQLA. But the actual customer base for the codec have never even heard of MOS and thus we aren't volunteering to write that. The folks who want to put it in expensive government support systems yet aren't willing to help with testing don't get our sympathy.
We avoid some techniques that would make the noise performance worse. The HF version of the codec doesn't vector quantitize, and doesn't do any delta coding between frames. The current FEC is Golay and we are investigating low-density parity codes.
There is a lot yet unheard about the Ratheon codec, regarding its actual noise performance and how well the listener can distinguish different speakers.
You've been Berkeley'ed!