Edit: It seems it's straight out of Curb, because it is! https://youtu.be/YH55dFlF_Rg?si=kOLC5rGq5fi8tke2
At the moment it runs on AWS, and we're thinking of open-sourcing so you could also run it locally to maintain 100% privacy of such conversations.
You'd get speaker diarization, names on top of the recording [2].
[1] https://aimeetingbot.com [2] https://spoke-1.gitbook.io/ai-meeting-bot
Happy to get in touch and have you run it
Not every therapy session is embarrassing, incriminating, or particularly interesting to anyone but you.
When I use he/him, people tell me I assume everyone on HN and tech is a male.
When I use she/her, you come and label me as misogynistic, too.
At one point I just give up. Or you know, you could also assume positive intent and not label someone misogynistic based on a comment where gender was not at all important to the discussion.
Anyway, I'm glad this thread turned into a "how you can avoid being called a misogynist in throwaway comment on HN". I guess from now on, I filter through my comments through Gemini to make sure my English is immaculate and that native English speakers don't castigate me for a small mistake.
Our lack of singular neuter pronouns sucks. (I.e. singular 'they')
I'm actually the founder of an AI Meeting Bot company - and we're thinking of open-sourcing so you could run exactly this set-up locally with perfect diarization / recording while also maintaining privacy [1].
I'm currently creating code examples, and just finished the "chat with each session". Would love to know how you implemented it.
We serve over 300 companies, process millions of hours of recording a year, and are officially partnered with Zoom.
This flow could help me improve fluency in her sessions ( eg. she has a hardware translation device (expensive) which has significant issues auto translating ), since it's missing context a lot.
Eg. When grieving is incorrectly translated between dutch-polish, it defeats a bit of the purpose of being fluent in your native language.
Reducing the error rate would help a lot.
- The audio is preprocessed (chunked) and sent to Whisper to generate a transcript
- The transcript is sent to GPT-4 to generate a summary, action items, concepts introduced with additional information
- The next meeting’s date/time is added to my calendar
- A chatbot is created that allows me to chat with each session, including playing the role as the therapist and continuing the conversation (with the entire context of what I actually talked about)
It’s been exceedingly helpful to be able to review all my therapy sessions this way.