this is actually pretty easy.

You do all of this, and then rework it a bit to get everything optimized. assembly language. and can be written for WINE compatibility.

To produce speech, you use alter ego... user input is just the mic stored as potentially a .wav file. then it gets interesing. you don't need SAPI, you can comparate the user input to known words that you sample from videos and movies. and then in alter ego, you can hack it to speed up the processing speed. what you do is you create .wav samples of different sounds like ca, sa, ax, ar, at, single syllables. and then you can comparate syllables to user input and convert user input to text pretty efficiently, but then again open source it and then verify words or say i don't know that, follow these steps to add that word to the data base. and then you can even hack it so that you can get words from online dictionaries and urban dictionary and create .wav samples in plogue from those words using a loop.

you just have to tolerate a small amount of imperfection when the user speaks,,,5%? that way the comparator is like this is close enough. and then if the computer does not understand your accent it can work with you and ask you to type what you just said and then it can use that in future comparaisons to learn different accents and inflections.

and then you can link it to any part of the computer using a loop. although you have to figure out how to generalize code and convert code to laymens terms.

and then as a final touch you can compare plogue voices to real human voices and rework and add some voices to alter ego based on real user data and inflections (AM and FM) and some white noise.

open source, assembly, blah blah blah, and tutorials, and then we can all hack on this and make it super complete so that linux can have a free, open source alternative for voice assistants.

and then you can ask people to take videos of their rooms and surroundings to help speed up 3d map creation for everyrtyhing and it will ultra help youtube videos become VR capable, because you know the relative surroundings, so you just render the image as much as you can based on real other images.

and then youtube becomes VR, AR, 3d audio capable without anyone doing any work.