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Using Google NotebookLM to generate your own podcasts Part two of a four-part series of blogs |
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Is there any limit to what AI tools can do? Google's NotebookLM tool summarises documents, websites and other sources using the medium of podcast.
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In this blog
I got NotebookLM to create a podcast summarising how to choose courses using our website (I thought I'd choose a subject I'm familiar with).
This is the podcast Notebook LM created - below I've explained how you can get to this stage.
You can jump forward and listen to the results here:
To create a podcast like this you need to choose your sources and then generate an audio overview, as explained under separate headings below.
The first thing to do is to click on the + Create new button above. You can then choose where your podcast will come from:
I chose to add a single source: this website.
You can now keep adding sources (up to 50):
Here I'm just using a single source.
Examples of sources might be PDF documents containing sets of rules or instructions, or a YouTube video showing how to do something.
This is very easy to do, but be aware that there doesn't seem to be any obvious way to cancel the process once it's begun:
NotebookLM has generated a summary of the sources I've uploaded (in this case a summary of this website), complete with a slightly weird icon. I can now click on the Audio Overview tool as shown to generate a podcast summarising the sources.
You should now see this message on the right side of your screen:
It takes a couple of minutes or to create the podcast, which is pretty quick.
You can then play or download your podcast:
The first podcast I gnereated was under 9 minutes long; when I tried to repeat the experiment the final podcast was quite a bit longer, at over 14 minutes.
If you want to see the original results the first time I tried this, you can download and listen to them using the audio at the start of this blog.
What you'll find is that while the podcast is impressive, it does use distinctively American accents. In the final part of this blog I'll show one way in which you can convert these into English accents (or any other "language", presumably).
Parts of this blog |
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Some other pages relevant to the above blogs include:
Kingsmoor House
Railway Street
GLOSSOP
SK13 2AA
Landmark Offices
99 Bishopsgate
LONDON
EC2M 3XD
Holiday Inn
25 Aytoun Street
MANCHESTER
M1 3AE
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