I thought the interface was quite nice and seems fairly intuitive, I like the way the audio track is divided into waveforms according to pitch on a timeline and you can edit each individual waveform to adjust pitch, length and dynamics.

Seeing as they can arrange in pitch order and change key easily, the logical step is to convert this directly into notation. Playing a mainstream jazz / pop recording into this and churning out notation would be awesome! I’ve always dreamt of whistling or singing a tune and having a program throw back the notes to me. The midi keyboard in the demo hints at this functionality =D

Very exciting =) Not sure exactly how it interprets the waveform and breaks it down into individual notes, but the video demo is just brilliant. Computing the Fourier transform of the sampled audio sounds convincing, since each formant has its own frequency, the signal can be represented by a mix of sinusoid waves, or partials. This page goes through some relevant Fourier technicalities:

http://www.dspdimension.com/category/tutorial/

But the formants are very close together, the AI must be very sensitive, wow.

Like he says though, for analysing and tweaking polyphonic recordings though, this is very cool. You could tune your guitar after recording, rather than before…