Record everything, ML multi-speaker speech-to-text every conversation. Plug text input into company search engine.
Radical transparency by giving everybody access to this interface.
Awesome bullshit filter.
Radical transparency by giving everybody access to this interface.
Awesome bullshit filter.
You had me here. Companies that do this as a matter of course on their key production lines usually become very, very productive.
Its not to catch worker ethics lapses; its to give the team the ability to understand the causes of their exhaustion, and optimise.
Anyway, done properly, meeting notes and general distribution can give individual members of a group a lot more agency over their participation in that group.
I honestly love this idea. Any suggestions on what FOSS tooling to use for said speech-to-text that's reasonably accurate? Or is training the ML the "heavy lift" of this setup?
Neat idea, do you know of any software that's capable of taking an audio file and producing multi-user text from it? Seems like it would be useful in a wide variety of situations.
Some of that only comes across when you actually use it - when you clean up the transcription immediately after the meeting or the next day. Clicking a mistake word to edit it snaps the video and audio to that point, so its super intuitive to "scrub" through the video just by clicking around the text transcription. Very fast, very natural, very low effort.
I can only imagine how much it will be improved if it used google's newest multi-speaker transcription models. It always had some trouble whenever people started talking at the same time.
That doesn't mean I was willing to pay $60/mo/pp though, and ended up not.
However, I still think it's the best product in its category right now and given the disappointing state of product design these days, I don't expect anyone to catch up to its interface. I'd love if an open-source group did though.
On top of this you can add 5000 names for company specific entity recognition for product, people, brand names etc.
120 different languages are supported.
If such a speech-to-text, multi conversation system existed then the field of court reporting/closed captioning would have a real shake up.