#Help me fix my audio degradation please!

1 messages · Page 1 of 1 (latest)

tribal nymph
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Recently I've developed an obsession with the public access tv show rAw TiMe and i have some videos with severely degraded audio, if i could get any assistance with restoring it to a somewhat acceptable state, that would be extremely helpful!
The videos I'm using (while not all of them have degraded audio) can be found here: https://archive.org/details/june-26-1999-tiffy-and-george-marshall
and here: https://archive.org/details/rawtime90
the affected videos are: August 14
august 21
and july 10

Internet Archive

my archive of every rAwTiMe callbreak/vid featuring Tiffy, enjoyJOIN THE RAWTIME SUBREDDIT: https://www.reddit.com/r/rAwTiMeTiffy/

▶ Play video
Internet Archive

since dave might delete them. check out Life Sucks archive for more clips

▶ Play video
ruby sonnet
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GitHub

AI powered speech denoising and enhancement. Contribute to resemble-ai/resemble-enhance development by creating an account on GitHub.

GitHub

Versatile audio super resolution (any -> 48kHz) with AudioSR. - haoheliu/versatile_audio_super_resolution

GitHub

General Speech Restoration. Contribute to haoheliu/voicefixer development by creating an account on GitHub.

GitHub

Music repair method to convert lossy MP3 compressed music to lossless music. - JusperLee/Apollo

shut mantle
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dango is rather paywalled but it can enhance better than apollo in cases like this, though may not reconstruct harmonics better than audiosr (I suppose?)

ruby sonnet
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Haven't tested Dango or Apollo personally, but did the vasr, it's quite alright when you get the settings right ( else it's mostly hit or miss ) yet biggest issue I subjectively have with it is the inconsistency, sample:sample wise inconsistency

tribal nymph
ruby sonnet
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Here's some hugging space you can try

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( they run it for you )
Just unsure of the limitations as I barely use such

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Worth giving a shot

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The interface should be pretty straightforward

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You'd just have to find some setting that does the trick for you ( if even

tribal nymph
ruby sonnet
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You can always just trim your files

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and do piece by piece

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That's unfortunately how it typically is

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Can't imagine doing complex inferences on such long files ( most of the time

shut mantle
ruby sonnet
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Or that ^ But I ain't aware of any, sadly

shut mantle
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I know only colab for apollo as well as audiosr

ruby sonnet
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Then you could try those 2 ^

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( and even the 1 min limit one, for demo / to see if it's even worth the hassle

tribal nymph
shut mantle
# tribal nymph if you'd be able to give those to me, i'd be appreciative!
GitHub

Apollo audio restoration Colab fork. Contribute to jarredou/Apollo-Colab-Inference development by creating an account on GitHub.

GitHub

AudioSR-Colab-Fork. Contribute to jarredou/AudioSR-Colab-Fork development by creating an account on GitHub.

GitHub

Unofficial implementation of HiFi-GAN+ for Google Colab, with some tweaks - jarredou/hifi-gan-bwe

tribal nymph
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thank you

tribal nymph
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ive changed the settings, kept them the same, error every time

ruby sonnet
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or just " error "

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You sure it's exactly 1 minute or, ideally, under it?

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even half a second or 100 ms could cause an issue
( In cases where there's a hard-limit on input length

tribal nymph
ruby sonnet
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ahhh, well, perhaps the space is broken then

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In that case colabs is your way

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But I think, makidanyee could help you better

shut mantle
# tribal nymph

idk but perhaps out of memory error?
the colabs I showed you above can process the audio at any length using chunk & overlap method