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marcan42's profile
Hector Martin
Hector Martin
Hector Martin
@marcan42

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Hector Martin

@marcan42

If it ain't broke, I'll fix it! I'm porting Linux to Apple Silicon Macs at @AsahiLinux. http://patreon.com/marcan  | http://github.com/sponsors/marcan 

Tokyo, Japan
marcan.st
Joined May 2009

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    1. Hank Green‏Verified account @hankgreen 24 Jun 2020
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      Has anyone else noticed that when a man and a woman are sharing a webcam on a video call, that the noise-filtering algorithms often filter out the woman's voice and pick the man's as the frequencies to highlight because... METAPHOR.

      111 replies 494 retweets 9,187 likes
    2. Daniel Whiteman‏ @giantevilrobotg 24 Jun 2020
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      Replying to @hankgreen

      A someone with professional experience as a sound engineer... DO NOT have multiple people using the same mic if it can in any way at all possible be helped! ESPECIALLY if their voices are in different octaves!!!

      3 replies 0 retweets 148 likes
    3. Hank Green‏Verified account @hankgreen 24 Jun 2020
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      Replying to @giantevilrobotg

      I’m not trying to record a hit single here. Sometimes people are in the same room as each other.

      5 replies 2 retweets 472 likes
    4. Daniel Whiteman‏ @giantevilrobotg 24 Jun 2020
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      Replying to @hankgreen

      Physics is physics regardless.

      4 replies 0 retweets 37 likes
      Hector Martin‏ @marcan42 24 Jun 2020
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      Replying to @giantevilrobotg @hankgreen

      The physics says the microphone converts sound to electricity. It doesn't know nor care how many people are speaking at once or what their ranges are, as long as they're within the mic's response. Cut your bullshit. The algorithms suck. Physics has nothing to do with it.

      6:52 PM - 24 Jun 2020
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      • raFA'El M wollymilkcap
      1 reply 0 retweets 3 likes
        1. New conversation
        2. Andrew McLaren‏ @andymcl92 25 Jun 2020
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          Replying to @marcan42 @giantevilrobotg @hankgreen

          Yep, but the algorithms try to reduce noise. If one person's voice has more overlap with the noise than the other, it'll adversely affect their speech. The reason for such algorithms...

          1 reply 0 retweets 0 likes
        3. Andrew McLaren‏ @andymcl92 25 Jun 2020
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          Replying to @andymcl92 @marcan42 and

          ...is because our ears are really good at using spatial release from masking. We localise signals and noise and hone on the areas where the signals come from. We can't do this when listening to a mono feed from an omnidirectional microphone. Because physics & psychoacoustics.

          1 reply 0 retweets 0 likes
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