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app_tutorials:animoog:timbre:complexwaves [2019/05/05 02:35] – created Paulinko | app_tutorials:animoog:timbre:complexwaves [2019/05/09 13:11] (current) – removed Paulinko | ||
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- | The AKWF_birds_0002 example in the timbre tutorial shows there can be significant issues to take into consideration with complex single cycle wave forms with respect to tuning. There are in fact 9 slightly different wave forms in the AKWF_birds_0002 sample as shown in the screen shot. | ||
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- | Rather than being a frequency of 1/0.013 Hz = 76.9 Hz, the sample’s true frequency will be 9/0.013 Hz = 692.3 Hz which is the difference between D#2 minus 20 cents versus F5 minus 15 cents. The frequency we want will be 16/0.371 Hz = 2.70 Hz for the Animoog timbre. | ||
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- | The question then becomes how do you fit a single cycle waveform composed of 9 different waves into a 16 single cycle Animoog timbre? Perhaps 18 cycles of the sample into the time 18 Animoog single cycle forms would have fit which would be 1024x18 = 18432 samples or 0.418 seconds versus the normal 1024x16 = 16384 samples or 0.371 seconds? | ||
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- | You could choose to trim your sample down to 8 single cycle waves from the original 9 single cycles so that you can pitch/time stretch to end up with 16 single cycle wave forms for your timbre as shown below. | ||
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- | Perhaps the safest route would be to transpose down the Animoog timbre you’ve created via MIDI to capture the frequency of the original samples? | ||
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- | When creating an Animoog preset composed of 8 timbres and you use timbres with different tunings, you can’t use MIDI note transposition to adjust for those frequency differences. | ||
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- | With more complex waveforms there will be more frequencies at different amplitudes (volumes) which will further complicate determining the dominant or root note of the single cycle waveform.</ |