Listen to native speakers pronounce “cowbell” in real conversational contexts with synchronized timestamps and subtitles.
So I'm going to play you a sound generated that's trained on a single cowbell hit.So just one cowbell hit.This is what the output sounds like.
To be alive, to be with you, like a weed, I can feel it in my head, like a dog in bed.So that cowbell, that cowbell is actually machine learning generated?
To be alive, to be with you, like a weed, I can feel it in my head, like a dog in bed.And the cowbell pattern-- Do you remember what it came from?
To be alive, to be with you, like a weed, I can feel it in my head, like a dog in bed.Like a cowbell pattern.
the case might be.And I don't know why I thought of the cowbell example from the "SNL" skit, where-- it's totally out of place.
And because I didn't have an A and R man, or anyone that would come in and go, oh, that's really good,or oh, you should turn some more cowbell up, or whatever they say, I was going round and round.And so I couldn't finish his song, so I went onto the search engine, and I just said, how do you write songs?
We liked how they handled timing, or rather didn't handle timing.So I'm going to play you a sound generated that's trained on a single cowbell hit.So just one cowbell hit.
This is what the output sounds like.So in the original stem that we gave them, it was just a single cowbell hit.But for some reason, the model generated this weird, kind of repetitive sound, stretched out and recompiled with more hits.
To be alive, to be with you, like a weed, I can feel it in my head, like a dog in bed.Yes. CLAIRE L. EVANS: The cowbell is a machine learning-- is that a microphone?
And it would take three weeks or a month to do an iteration.You'd get it back and be like, the ears are too long, or this needs more cowbell, or whatever you wanted to say.And then you'd do it again.
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