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86 lines
4.5 KiB
Plaintext
86 lines
4.5 KiB
Plaintext
Episode: 4228
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Title: HPR4228: Auditing Audio Files For Youtube
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Source: https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr4228/hpr4228.mp3
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Transcribed: 2025-10-25 21:44:38
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---
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This is Hacker Public Radio, episode 4228 for Wednesday the 16th of October 2024.
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Today's show is entitled, Auditing Audio Files for YouTube.
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It is part of the series a little bit of Python.
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It is hosted by Dave Hingley, and is about four minutes long.
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It carries a clean flag.
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The summary is a detailed technique to ensure all music used on my YouTube channel
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is free from copyright claims.
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Hi, welcome to the episode of Hacker Public Radio.
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I'm going to talk a bit about some nerdy stuff today,
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which I know will go down well with you guys, so here we go.
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I'm familiar with, and I'm sure you must be familiar with Abraham Wald,
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who was a mathematician and founder of a problem solving technique called operational research.
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You may be familiar with the core principle.
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So during World War II, he was tasked to help decide where arming needs to happen
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on aircraft coming back from bombing raids.
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So he was looking at all these aircraft full of bullet holes,
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and he quickly came to the idea that an aircraft that came back with bullet holes
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doesn't need arming in that position.
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So the assumption is that an aircraft doesn't come back,
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had a bullet hole not in that position.
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So if you map the location of the bullet holes,
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that will give you an idea of where you need to put your armor,
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as opposed to just cover the bullet holes,
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because that really doesn't work.
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But also the idea is that the planes themselves demonstrate that I can fly with a bullet hole,
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so it doesn't need arming in that position.
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So there's the genesis of today's episode.
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So here's my problem.
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My problem is I have a YouTube channel.
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And if you're interested, I talk a lot about making comics and drawing and drawing and art and creativity.
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And as part of that, I put music all over the videos.
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Now the music I use is always public domain.
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I spend a lot of time finding public domain recordings that I can use.
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And so if you're so often a YouTube will throw up a copyright strike or copyright claim.
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And I then have to sort of dispute that.
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Now I've got swaves of information.
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I write down the location where we follow.
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I download the picture right from the conditions of the license, all that sort of stuff.
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So I'm normally armoured.
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I'm normally armoured here against this stuff.
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But be interested to know which songs are difficult,
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which ones should I worry about and not worry about.
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So I came up with the idea of making an audio audit
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and using YouTube's own system to tell me which tracks are problematic.
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Now I've got about 450 music tracks on my music directory.
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So I wrote a bit of Python.
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And what the bit of Python does is it takes the first minute or,
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or their about if it's, if it's less than a minute uses, you know, as much as it can.
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Of the music.
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It taxs it all together into a big long video with a picture on there.
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And then puts the song title on.
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A little bit of text and we're using some, a few of the libraries like Pi Movie and the films like this.
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It then generates a video.
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And then puts that video in a location that I can specify.
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Now it will make the video at a low res because you don't want to have a massive video to upload.
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Just so you get some idea, my audio video was about four hours long.
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It took eight hours to upload.
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I just left it overnight basically.
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And then the next day I got back and it found five copyright claims against this video.
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Which I can look at them and check.
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And yes, they are still probably the main locations.
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But I know that if I'm going to use these pieces of music in the future,
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YouTube will throw up a copyright claim.
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Which I can, yeah, I've got the information I can dispute it and win.
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I've uploaded the Github.
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So if you're interested or want to use that code for your own purposes, you know,
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you can get it from there.
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If you're interested, my YouTube channel is also in the show notes as well.
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And I look forward to hearing if you found it useful or found this episode interesting.
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Alright, take care, bye now.
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You have been listening to Hacker Public Radio at Hacker Public Radio.
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Today's show was contributed by a HBR listener like yourself.
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If you ever thought of recording podcasts,
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you click on our contribute link to find out how easy it leads.
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Hosting for HBR has been kindly provided by
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www.unsthost.com, the Internet Archive and our Sync.net.
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On the Sadois stages, today's show is released under Creative Commons,
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Attribution 4.0 International License.
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