You put the maximum accuracy rate of software transcription at < 80%. I assume that is regarding recognition when no context is employed. Where the context is known, recognition can be much more accurate. Analyzing the speech that can be recognized and then using that to help provide context to unrecognized speech is where the gains in accuracy are going to come from... I'm a little bit hard of hearing and I often have a hard time understanding what people are saying. I use what I hear to give context to the words that I didn't catch or misheard. It will happen. Half the text I enter on my Android phone, I enter using the speech recognition. It does a fairly accurate job with a little light editing.