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Topic2 mentions across episodes
Content production
and create our clone of voice. And so I use a combination of different voices to create this old man speaking. Anyways, you get the idea. I'll go here and I'll just download that into an m p three. Voiceover is done. Now we wanna go to music. What I
40:24 / 41:40
from transcript40:24 – 41:40
as a very, fine grained tool, in the image domain. It's editing images, but not like macro editing, but very specific kind of editing that photo Photoshop is increasingly integrated in. I mentioned to you offline. So there's a whole, Izotope RX group
2:06:02 / 2:07:00
from transcript2:06:02 – 2:07:00
Brass and woodwinds. And it's interesting that it's doing this after it made the complete track, Alex. It made the complete track, and then it's using AI to break it down. I thought it would have made the individual components and then made it into t
27:33 / 28:50
from transcript27:33 – 28:50
I'm gonna listen through these generations. And when I find one that I like let's go for number four. I can add it to this button here. Mhmm. So now I can trigger this sound effect in my soundboard, and I can also loop these sound effects. So I could
17:15 / 18:23
from transcript17:15 – 18:23
I think something that's really important to note is that Suno, you know, is a company that's making AI generated music. They recently released their, v five model, which was just their newest, most upgraded model. It's great fidelity. The vocals sou
21:31 / 22:52
from transcript21:31 – 22:52
Yeah. I'm actually I'm I'm gonna say one that is incredibly super basic and, again, coming back to just my workflow, but we are currently recording this on Riverside. Riverside is a great tool for recording video audio, things like we're doing right
57:06 / 58:10
from transcript57:06 – 58:10
Okay. Now with the ambient preset, we have sounds like light rain and heavy rain. I mean, the sound of waves as well. Okay. And these have all been generated by just describing the sound and having our model generate the sound effect. So let's say I
16:30 / 17:35
from transcript16:30 – 17:35
and then he made them reality. And, this is just wild when you think about it. Keep going. Drawn by hand for the scene. For example, a sketch of a grandpa sitting outside on a bench. And again, I'm just doing like a rough draft here just because I wa
39:45 / 40:55
from transcript39:45 – 40:55
So Mark one day is listening to music on his computer. I think probably on Winamp, which is how everybody listened to MP threes that you got from Napster back in the day. I think I listened on SoundJam, but it's just because I had a Mac. Oh, yeah. Fu
19:24 / 20:31
from transcript19:24 – 20:31
But when you would listen to digital music on a digital music player on your computer, you could have the option to have a visualizer where it would take the sound waves from the m p three you were listening to and then put it through all these trans
22:28 / 23:30
from transcript22:28 – 23:30
And with these two things in place, even if some features that we wanna build are not possible yet, they will be possible in the near term, with this Yeah. Trajectory. So that's a little side side note. No. So in the meantime, yeah, we're using Whisp
32:17 / 33:20
from transcript32:17 – 33:20
just driving in a car and listening to the whole thing all the way through. Yeah. That's lost. So I have my old iTunes libraries from 2,005 that I list that I that I have saved the the CDs that I uploaded into my computer. Yeah. Anytime I do the I pl
2:21:39 / 2:22:53
from transcript2:21:39 – 2:22:53
a half lake worth of water, whatever the hell is gonna come. I'm joking, but it's pretty bad. Yeah. It's pretty bad. So they're gonna go and they're gonna give me on the them stack rank those and see where they agree and where they don't agree, and c
1:08:02 / 1:09:18
from transcript1:08:02 – 1:09:18
on a Mac. This is by far the best software when it comes out, to do it. And, Macworld, the magazine, writes a review of it and says, of all the m p three software available for the Mac, Cassidy and Green's new SoundJam MP, which I think MP stands for
16:19 / 17:33
from transcript16:19 – 17:33
Yeah. So the the maybe the other thing I'll just speak to is because I spent a lot of time with AI music. I love AI music. It's very, very exciting. I believe that, like, anyone who's ever picked up an instrument has wanted to play it well. Mhmm. But
1:01:14 / 1:02:46
from transcript1:01:14 – 1:02:46
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