We have all seen the successes of Machine Assisted captioning, translation, and voiceovers and we have also seen the embarrassing errors of the same engines. Real-life usage, of course, is somewhere between the two. This session will show a couple of real-life examples of Speech To Text (STT), Machine Translation (MT) and Text To Speech (TTS) using Neural voices. We will look at what you would expect to be a perfect candidate for Automatic Speech Recognition (ASR) using multiple commercial engines and then seeing how well they can be transferred to a multiple MT engines. We will also see how its usage in AudioVisual Translation is different from a standard text translation. I will also give a brief demo of how well modern neural voices perform in multiple languages based on input from AVT timed text (vtt) format files.