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Interesting work, glad to see I am not the only crazy one left in the life logging scene after all these years. Have been lifelogging since 2004-ish, and built a few custom bits of software and hardware to support it. I don't record 24x7 anymore, but I used to. Now my recordings are limited mostly to my office environment, and when I am out and about using a Sensecam-like device with custom firmware. When in my office I capture video, audio and depth data from multiple view points, along with images of the desktop of whatever computer I am on, and process most of it on a Jetson.

How's the audio quality on those devices you link to in other comments? I find I pick up a lot of ambient noise when outside of the office, and always struggled to come up with a viable algorithm and model to differentiate "background chatter" from the main conversation, and it is a problem I've never really managed to solve so I am interested in your experiences on the subject.



> Have been lifelogging since 2004-ish

Hopefully new advances in AI will let you try new things with your old recordings

> How's the audio quality on those devices you link to in other comments?

Decent, quality is directly proportional to the distance between the microphone and the mouth, but can't expect too much from 30$ devices.

>and always struggled to come up with a viable algorithm and model to differentiate "background chatter" from the main conversation

Yes, that's a big problem to solve, you can try Pyannote's Diarization https://lablab.ai/t/whisper-transcription-and-speaker-identi...

that will be a next step for the experience


Do you mind sharing your experience, why you started, what you want to get out of this etc? I'm interested to read your experience.


Have you seen the show "My Strange Addiction"?



Yep that one.


Any specific episode is relevant?


Not interested.




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