3 ms·
> Voice recognition is basically a commodity now .. there are open source AI engines that can do it offline really well. So the recognition part is solved, you
by simiones 4y ago
> Voice recognition is basically a commodity now .. there are open source AI engines that can do it offline really well. So the recognition part is solved, you can just grab it from your distro's package manager.
This is potentially far from true, depending on how exactly you draw the line between "voice recognition" and "language". I've looked at quite a few transcription services, and they fail a lot of the time for most people - those who either have a non-native accent (even if very slight!) or those who do any amount of stammering or other vocal tics.
- ghaff 4y agoI find the ML transcription services, given 2 people speaking English with high quality sound and without heavy accents/a lot of jargon, to be adequate for having a skimmable record--such as for extracting quotations (and just go back to the recording to confirm the exact words if it's not obvious). But if I'm publishing a transcript I get a human transcription. Cleaning up the ML stuff takes way too much time and I wouldn't publish a transcript without cleaning it up.
- simiones 4y agoI was in fact looking at some transcriptions of my recent meetings, and found one that captures how even small mistakes can make for completely not-understandable transcripts, unless they are manually cleaned up. Manual transcription: > So no: long story short, Slum is basically the way we can have an individual [, uhhh,] instance that carries all the licenses. (Slum is a project name in this case) Computer transcription (MS Teams): > So no. > A long story shorts. Love is basically the way we can have an individual. > OHS instance that carries all the license.