Visualizing your favourite song?
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Recently I was searching for some gifts when I stumbled across Sound Viz and Cumberland Coast .
These were your favorite songs which were visualized and printed. So that’s when I started looking into on how could you visualize them. So I wanted to try the same and that’s when I came across the r packages tuneR
and seewave
. Now I knew that I wanted to visualize the song but then I also wanted to see how different are the visualizations for the same song in an original version and the acoustic version. So I did download both the versions of the song Take On Me by A-ha. Since the wave format is too big to-be processed I did clip the songs to 1-minute duration. Below are the visualizations for the different versions of the same song.
Following is the code which I used to generate the waveforms above:
library(tuneR) library(seewave) setWavPlayer('mplayer') # Set the command-line WAV player fin <- readWave('yoyoma_clip.wav') data = (fin) snd = data@left par(bg="orange") # plot waveform orig_left <- plot(snd, type = 'l', xlab = 'Samples', ylab = 'Amplitude',col = c( "blue","green", "orange"),frame.plot=FALSE)
And finally finishing this post with one of my favorite song.
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