fourier transform to transpose key of a wav file

Question

I want to write an app to transpose the key a wav file plays in (for fun, I know there are apps that already do this)... my main understanding of how this might be accomplished is to

1) chop the audio file into very small blocks (say 1/10 a second)

2) run an FFT on each block

3) phase shift the frequency space up or down depending on what key I want

4) use an inverse FFT to return each block to the time domain

5) glue all the blocks together

But now I'm wondering if the transformed blocks would no longer be continuous when I try to glue them back together. Are there ideas how I should do this to guarantee continuity, or am I just worrying about nothing?

Answer 1

You may have to find a zero-crossing between the blocks to glue the individual wavs back together. Otherwise you may find that you are getting clicks or pops between the blocks.

Answer 2

Overlap the time samples for each block by half so that each block after the first consists of the last N/2 samples from the previous block and N/2 new samples. Be sure to apply some window to the samples before the transform.

After shifting the frequency, perform an inverse FFT and use the middle N/2 samples from each block. You'll need to adjust the final gain after the IFFT.

Of course, mixing the time samples with a sine wave and then low pass filtering will provide the same shift in the time domain as well. The frequency of the mixer would be the desired frequency difference.

Answer 3

Found this great article on the subject, for anyone trying it in the future!

Answer 4

For speech you might want to look at PSOLA - this is a popular algorithm for pitch-shifting and/or time stretching/compression which is a little more sophisticated than the basic overlap-add method, but not much more complex.

If you need to process non-speech samples, e.g. music, then there are several possibilities, however the overlap-add FFT/modify/IFFT approach mentioned in other answers is probably the best bet.