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[bounty] speaker identification (next steps) #695

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louis030195 opened this issue Nov 18, 2024 · 10 comments
Open

[bounty] speaker identification (next steps) #695

louis030195 opened this issue Nov 18, 2024 · 10 comments
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💎 Bounty enhancement New feature or request

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@louis030195
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louis030195 commented Nov 18, 2024

WIP

also i'm curious how we could associate frames to specific person (speaker) somehow (and thus screen text) but this is lower priority

/bounty 200

(TBD what is exactly the things to do)

@louis030195 louis030195 added the enhancement New feature or request label Nov 18, 2024
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linear bot commented Nov 18, 2024

@louis030195
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louis030195 commented Nov 18, 2024

Screenshot 2024-11-18 at 1 33 07 PM kinda tihkning about google photo ui

i think we need similar for speaker identification over long ranges, eg "listen to this voice, is it john? can you tell me the name?"

i bet they compute embeddings of face and group together and tune based on user feedback

@louis030195
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@EzraEllette what do you mean by "Attempt to use LLM for identification through meeting context"

we already do this in meeting page

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algora-pbc bot commented Nov 18, 2024

💎 $200 bounty • Screenpi.pe

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Attempt Started (GMT+0) Solution
🟢 @EzraEllette Nov 18, 2024, 9:46:17 PM WIP

@EzraEllette
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@EzraEllette what do you mean by "Attempt to use LLM for identification through meeting context"

we already do this in meeting page

When this function is called, It should now be able to update speaker information in the database with user permission.

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EzraEllette commented Nov 18, 2024

/attempt #695

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@NicodemPL
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Limitless uses emails/names from calendar events. Might be good idea to implement calendar to meetings at this stage.

Other idea - OCR from meeting frames to find and confirm names. We already have this data (OCR)

@louis030195
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louis030195 commented Nov 19, 2024

Limitless uses emails/names from calendar events. Might be good idea to implement calendar to meetings at this stage.

Other idea - OCR from meeting frames to find and confirm names. We already have this data (OCR)

yes to 2

the screen (and mic) is the universal interface that contains all apps - we do not need any integration if we just use pixels and LLMs well

let's try without calendar first and if it's too hard we can think about it but it involves many things (auth, cloud API, db etc) that are not core to screenpipe

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