To convert notes into colors in the most physics-inspired way, multiply the audio frequencies by 2^40 (40 octaves) to obtain terahertz frequencies in the visible range.

Starting from A=440Hz, this yields:

• F#: dark red (use violet from high end?)
• G: red (use a dark red instead?)
• G#: also red thanks to RGB colorspace (use a bright red instead?)
• A: orange-red (use orange instead?)
• A#: yellow
• B: green-yellow (chartreuse)
• C: green
• C#: cyan
• D: sky blue
• D#: blue
• E: a blue-indigo
• F: indigo
• F#: violet

See:

• http://www.endolith.com/wordpress/2010/09/15/a-mapping-between-musical-notes-and-colors/
• http://rohanhill.com/tools/WaveToRGB/ to do the conversion from wavelength to RGB color
• If you can excuse the sound-healing pseudoscience, this page contains a nice conversion that uses an orange-red for G# as an approximation: http://www.lunarplanner.com/Harmonics/planetary-harmonics.html

To convert notes into colors in the most physics-inspired way, multiply the audio frequencies by 2^40 (40 octaves) to obtain terahertz frequencies in the visible range.

Starting from A=440Hz, this yields:

• F#: 737nm (dark red)
• G: 696nm (red)
• G#: 657nm (unfortunately also red in RGB colorspace)
• A: 620nm (orange-red)
• A#: 585nm (yellow)
• B: 552nm (green-yellow / chartreuse)
• C: 521nm (green)
• C#: 492nm (cyan)
• D: 464nm (sky blue)
• D#: 438nm (blue)
• E: 414nm (blue-indigo)
• F: 390nm (indigo)
• F#: 369nm (deep violet)

To get around G (696nm) and G# (657nm) both translating red in RGB color space, and the deepness of F# violet: I would suggest using violet for F#, dark red for G, red for G#, and orange for A.

See:

• http://www.endolith.com/wordpress/2010/09/15/a-mapping-between-musical-notes-and-colors/
• http://rohanhill.com/tools/WaveToRGB/ to do the conversion from wavelength to RGB color
• If you can excuse the sound-healing pseudoscience, this page contains a nice conversion that uses an orange-red for G# as an approximation: http://www.lunarplanner.com/Harmonics/planetary-harmonics.html