Welcome back to Machine Learning Applied. We're not going to discuss anything technical in this episode, just a little bit of fun. I want to show you a cool project I'm using. The project is called Descript. It's a podcast recording tool, software on your Mac or Windows, and I'm using it to record this episode, and I used it to record the last few episodes ever since I came on to Depbt because Debt's podcasting branch has a pro

subscription to their service. And I am just over the moon about this product. And it's just so fun

and it's inspirational. Maybe it'll get you noodling on what you want to build for your next

machine learning project. Just kind of show you the capabilities of machine learning out in the

wild. So the first feature it offers is that it generates transcripts of your podcast episodes.

So that is speech to text.

Nothing special.

But that's kind of cool.

That's really valuable for me now I've been recording my episodes, generating a transcript

and then posting them on my website show notes.

So now I have transcripts.

That's pretty valuable for accessibility

or if somebody wants to see where in an episode

some topic I'm discussing so they can skip to that section.

The next thing is that you can edit the transcript.

And so if I highlight a chunk of text and click delete,

it will delete that from the audio,

from the recording, not just from the

transcript. That's pretty cool. So it reflects back. And then take it to the next level. It's not only

limited to deleting text from your transcripts, you can add text to your transcript. And it will

sort of use deep fake to use your voice to

generate audio back into your podcast file so this whole section here I didn't

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