3 ms·

If you actually repeat the speech into the microphone, you can go quite a bit higher.

• aantix 12y ago
  Id like to explore if there are any automated solutions? What software/sdk's have you used?
  • olgeni 12y ago
    Nuance's SDK, but unfortunately "automated" is out of question with that...
  • jamesbrownuhh 12y ago
    Even the best automated solutions rely on recognising someone who is speaking clearly and precisely, ensuring that every word is well spaced and completely clear. There are no automated solutions that can universally do a good job of transcribing natural speech from people who aren't specifically "speaking to be recognised", if that makes sense. Maybe one day, but not yet. It's a problem waiting to be solved, so the reward for the first who can really crack it will be substantial.
• jamesbrownuhh 12y ago
  This is used quite a lot in the UK for captioning live news broadcasts - it's called respeaking and relies on a speaker basically repeating the speech in a flat monotone voice, such that some voice recognition software can more easily make it out. It works to some degree, and has the advantage for the subtitling companies that respeakers are easier to train and don't need to be paid as much as a proper stenographer. The disadvantage is that the output is much slower and subject to a rather greater delay. There is still nothing that beats steno - but respeaking is cheaper and people don't complain enough about the inaccuracies.
  • olgeni 12y ago
    In Italy it was the other way around - steno was cheaper for some reason, but there were issues with foreign words / names / etc. I used to do this stuff for a while and I saw the most incredible things go on air on both sides...