[rijoja]

You beat me to it! I've been working on similar thing, so I'm a bit jealous that you published this before me! Then again it makes me happy that I'm not the only one with far out ideas like this!

My approach is a tad different though. My approach works by using the microphone. And I have the code to extract notes from a microphone via a FFT. Allowing for typing with say a guitar.

Extracting single notes works quite well. I haven't gotten around to test chords just yet, but I think I have the fundamentals there.

I'm a bit short on musical knowledge and instruments so so far I've only tested it with my voice (ugh), synthesized sounds and partially filled water bottles.

Also I have a suggestion for a graphical interface that would make the learning curve easier and making it language/alphabet independent.

Please reply to this comment if you are interested in integrating this.

[jackxbritton]

Been doing some pitch detection recently myself, but I went for an average magnitude difference function over an FFT. My understanding is that FFTs are a bit more intensive than autocorrelation-like solutions, but they work better with polytonal signals. Typing seems suited to single-tone instruments - did you consider using AMDF (or a similar function)?

[rijoja]

To be honest all of this is on the border of my knowledge horizon. No I've never heard of AMDF but I will check it out for sure.

In the long run as I wrote I am aiming to support chords so that'll be necessery.

Would AMDF make the response time quicker?

For what purpose are you doing pitch detection?

[Adam13531]

Sounds like a fun project!

RE: integration with what I did - I'm hoping to release the source code one day, then you'd most likely be free to use that code however you want (I'll probably MIT-license it). But as for my involvement, I'd like to be done with this project.