domingo, 27 de novembro de 2011

Bach, Sonata in C Major, Allegro assai, Lara St. John, solo violin



Enviado por em 26/11/2011
About this video...
Performed by Lara St. John, recording courtesy of Magnatune.

This is one video in a series of experiments described here:
http://www.musanim.com/bwv1007m1/

Q: Why is the video so jittery? Can't you do something about that?
A: Yes and no. When videos have fast motion, it looks smoothest if the frame rate of the video matches the frame rate of the playback system. My computer display here at home runs at 60 fps (frames per second), and when I view my videos here at that rate, they're beautifully smooth. But when I upload a 60 fps video to YouTube, they convert it to 30 fps by mixing pairs of frames together, so that each frame becomes a kind of blurry double exposure. Therefore, I make 30 fps versions of the videos for YouTube. If you play a 30 fps video back on a system running at 60 fps, it looks jittery, but at least the individual frames look right. If your internet connection is slow, YouTube (or your browser software and/or Flash player) may reduce the frame rate even further. The effect becomes more noticeable as the scrolling speed of my videos increases, so I tend to use slower scrolling speeds than I would otherwise (as a compromise), but in this one, other aspects of the animation (the big patches of color and the irregular outlines when the melodic path changes direction) were less visible when I squished the horizontal scale, so I pushed it further in the fast and jittery direction than I would have otherwise.

Q: What do the colors mean?
A: The colors indicate "pitch class" (that is, note name, C, C-sharp, D, D-sharp, etc.). You can read more here about the system I use:
http://www.musanim.com/mam/pfifth.htm

Licença padrão do YouTube
  • pessoa(s) gosta(m), 2 pessoa(s) não gosta(m)

Comentários da pessoa que enviou o vídeo (smalin)

  • How about, when charting a single instument like this, showing a symetrical (mirror effect) in which the unplayed notes are introduced at each end of the screen and after being played dissapear into themself at the centre of the screen. Something tells me that would produce a very satisfying effect.
  • @terrybeaton If you want that effect, you can hold up a mirror in the middle of the screen. I've tried it, and I don't find it particularly satisfying, but you might experience it differently than I do.
  • Have you ever tried using the actual musical notes? I haven't done it yet, but I know there is a way to convert video to slow motion, and there is a way to slow down music without changing the pitch. It seems to me that by combining these things, you'd have an unbeatable tool for learning musical notation.
  • @QUABLEDISTOCFICKLEPO I've included conventional notation in some of my videos, and I plan to do an "animated notation" video for Bach's chaconne (for solo violin). However, my focus with these animations is not to provide a tool for learning notation; I have a separate project for that.
  • I'd like to hear more about that project. My previous attempts at learning to play the piano, which obviously includes music reading, were failures. However, I did learn that playing scales 8 to 10 hours a day accomplished exactly nothing for me. So now I know that you cannot learn to play by sheer effort. However, now that I think of it, I'll bet what I am suggesting is already being automatically done by computer. In fact, I'm so sure of it that I'm going to go surfing for it.
  • @QUABLEDISTOCFICKLEPO To learn sight-reading, you need music at your level, but once you've read through a piece, you can't use it again (since you're using your memory). It's hard to know when you've made a mistake. It's harder to get back on track after a mistake than to not make a mistake in the first place, and it's hard to get practice in getting back on track. My system deals with these (and other) problems by composing exercises in real-time, based on your ability and errors.
Disse e repito: você é uma criança humana maravilhosa , um Meninão brincando com a beleza !
Se fosse menina eu lhe chamaria de Penélope bordadeira catando os pontos sonoros nos céus do mundo >Amo em você a doçura e delicadeza genial , e ainda oferecida de PRESENTE - Que posso lhe dar eu? Soprar, daqui do Brasil um beijinho amarrado em mil estrelas para o coroar de alegrias!


Enviado por em 26/11/2011
About this video...
Performed by Lara St. John, recording courtesy of Magnatune.

This is one video in a series of experiments described here:
http://www.musanim.com/bwv1007m1/

Q: Why is the video so jittery? Can't you do something about that?
A: Yes and no. When videos have fast motion, it looks smoothest if the frame rate of the video matches the frame rate of the playback system. My computer display here at home runs at 60 fps (frames per second), and when I view my videos here at that rate, they're beautifully smooth. But when I upload a 60 fps video to YouTube, they convert it to 30 fps by mixing pairs of frames together, so that each frame becomes a kind of blurry double exposure. Therefore, I make 30 fps versions of the videos for YouTube. If you play a 30 fps video back on a system running at 60 fps, it looks jittery, but at least the individual frames look right. If your internet connection is slow, YouTube (or your browser software and/or Flash player) may reduce the frame rate even further. The effect becomes more noticeable as the scrolling speed of my videos increases, so I tend to use slower scrolling speeds than I would otherwise (as a compromise), but in this one, other aspects of the animation (the big patches of color and the irregular outlines when the melodic path changes direction) were less visible when I squished the horizontal scale, so I pushed it further in the fast and jittery direction than I would have otherwise.

Q: What do the colors mean?
A: The colors indicate "pitch class" (that is, note name, C, C-sharp, D, D-sharp, etc.). You can read more here about the system I use:
http://www.musanim.com/mam/pfifth.htm

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Licença padrão do YouTube
  • pessoa(s) gosta(m), 2 pessoa(s) não gosta(m)

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