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File (hide): 4693cbada4814cb⋯.png (609.55 KB, 564x1024, 141:256, gabriel_dropout kurumizawa….png) (h) (u)

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 No.814819[Watch Thread][Show All Posts]

If you use replaygain tags (like any sane person), don't forget to switch to the new algorithms since they're a little more intelligent than just looking for the peak amplitude. While searching for scanners, I found:

* https://github.com/jiixyj/loudness-scanner the guy also made the ebur128 lib used by ffmpeg

* http://bs1770gain.sourceforge.net/ looks more flexible and cool guy "This project is dedicated to my European heritage. It is strictly to be understood as a statement against the "sweet" liberal lie of "multiculturalism" which is going to destroy Europe as we know it, in particular against the Merkel regime selling out Europe for nothing as we watch."

 No.814828>>814846

File (hide): 200c9b89772ef34⋯.jpg (127.53 KB, 766x232, 383:116, 200c9b89772ef3424612367b49….jpg) (h) (u)

>2017-01-10 Added a political statement to the top of this page.

>it's the last update


 No.814846

>>814828

>https://sourceforge.net/projects/bs1770gain/files/bs1770gain/

>2017-02-11

He safe. m8, he didn't name the jew, only the scapegoat known as Merkel.


 No.815097>>815276

Anyone know better scanners? The bs1770gain one is lean and simple, but you'll need to script a little bit around to multithread it and overwrite your files.


 No.815276>>815289

>>815097

afaik foobar2000 uses r128 internally, and it's comfy

but it's still not perfect because simply adding silence to a record changes the result, while it shouldn't.

a sane way to measure "perceived loudness" would be like this:

1: completely ignore parts which have peaks below for example -60dB

2: compute RMS values of the record after equalizing with inverted equal loudness curve

3: for each channel, get mean of values above 80% percentile

4: ??? it depends on the number of channels, the final result must be somehow derived from the per-channel results.

points 1 and 3 is where (most) current implementations are lacking


 No.815289

>>815276

>The K-weighting filter is composed of two stages of filtering; a first stage shelving filter and a second stage

high-pass filter.

I'm reading the paper, and it seems like 1 is already here




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