Lip Reading as a Service (Read Their Lips by Symphonic Labs)

[luma]

Thinking through some potentially interesting sources for videos where two people are talking but we don't know what was said and well, I think this is a decent starting point: https://www.youtube.com/watch?v=KLcfpU2cubo

Sadly, doesn't work too great in this situation:

> That they didnt go through but i would tell you theyre just a chill look at here lets do it chills with all of our great men and they look at every chance they go oh do you want to the black man well thats my gosh thats my gosh thats my gosh thats my gosh thats my gosh thats my gosh thats

[mtVessel]

So far, it's no HAL 9000.

Uploaded video dialog:

Bowman: You know, of course, though, he's right about the 9000 series having a perfect operational record. They do.

Poole: Unfortunately that sounds a little like famous last words.

Bowman: Yeah, still it was his idea to carry out the failure mode analysis, wasn't it?

Poole: mmm

Bowman: Should certainly indicate... (away from camera): his integrity and self-confidence

Bowman: If he were wrong, it'd be the surest way of proving it.

Poole: It would be if he knew he was wrong.

Results:

"Of course there is recommended getting necessary to have a perfect operational rank i know youre going to be the first to do that youre going to get the best youre going to get the best youre going to get the best youre going to get the best youre going to get the best of yours if you want to rock better sure its well perfect."

[coolandsmartrr]

I think you just proposed the ideal benchmark material for all future AI lip readings.

[pogue]

Has anyone tried this with some video where they know what the person is saying?

I'd be interested to know how accurate it is, from what angles it will read lips at (front facing, side, etc).

Sounds promising if it works well. Imagine all the historical videos without sound you could try to finally know what was being said.

[bluGill]

Experienced lip readers are lucky to get half of what is said. Better than nothing but not reliable enough for anything and so better to use something else if possible.

'i love you' and 'island view' have the same lip movements is the clasical example.

[echelon]

Great way to build labeled training data.

User-submitted videos (with audio for STT), user-crafted bounding boxes (we might not need these soon), and user-guided RLHF.

The submitted videos are likely diverse, challenging (otherwise the human might just do it), and representative of solving actual customer problems.

[indoordin0saur]

Doesn't even need to be user guided. Use videos that have audio. You could have one AI that generates a transcript using the audio/video and another that watches the video on mute and tries to read the lips. Feedback would then be provided by the AI that had access to the audio.

[shrubble]

Wondering how well this will perform on the viral video “Benny Lava” and if it will be part of a group of videos used to create a synthetic benchmark.

[tchock23]

Has anyone tried this out on Radiohead's "Just" video yet?