Today we're releasing @AudioShakeAI Multi-Speaker 2.0: one recording of several people talking goes in, a clean labeled track per person comes out โ including the moments they talk over each other.
@RicardoBlanco@posthog where are my children? are they still in the house? what's retention looking like? have they activated? is anyone churning to the neighbor's house?
@texjer They probably have you read a sample script first to make it "custom," which should help WER a lot. "Traditional" ASR can do that too--for example, it's a way you can build a model to work with someone who has a speech impediment
This is cool! But also, I have questions for the brain people:
1) Does speaking aloud help us think? I feel like I don't know what I'm saying half the time till I'm hearing myself say it
2) Loss of feedback? Tied to the above, I feel like hearing myself say something aloud helps me refine it, and recognize when something doesn't sound right (writing is an even better version of this)
3) You lose emotional cues (but longer term, you could get that from other facial expressions, at least from ppl with expressive faces)
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@texjer ok overachiever! all i did tonight was watch netflix :)
side note---UX aside, WER =19%!?!
on the upside, i guess it wouldn't break in the same ways normal ASR does (eg a room with crowd noise).
@SLazarusM31 What are some examples of edge cases?
Unrelated/related to disibility tech: I've really liked some of the work that's been done with small, on-device models that allow people with atypical or impaired speech to be able to have a custom ASR. Bonus: totally private!
@dflieb I've seen whisper tech like @tomasmas doing with Aumental / Vox, so no question in my mind that something around open space -->transcription will be a real thing!