On Apr 8, 1:49 pm, wurp <bobbymart...@gmail.com> wrote: > I agree, Fourier analysis is the way to go.
I doubt you need to calculate the STFT. Here are some simpler approaches that probably will work - experiment! 1. Detect clipping. Talking probably doesn't clip much but blowing into the mic definitely will. You should implement some kind of threshold so that flute_volume = sigmoid_function_of(number_of_clipped_samples_in_last_0.1_seconds). 2. Use the power of your signal (sum of the samples squared) as the output volume. I.e. calculate the average power for every 0.1 second segment, and I'd probably make this decay exponentially too. 3. Just use a single Fourier coefficient. Much quicker and simpler than calculating the entire FFT. To do this really properly, record some non-blowing noises (i.e. talking) and blowing, and find the frequency which has the biggest difference between the two. Use a few different phones. Tim -- You received this message because you are subscribed to the Google Groups "Android Developers" group. To post to this group, send email to android-developers@googlegroups.com To unsubscribe from this group, send email to android-developers+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/android-developers?hl=en To unsubscribe, reply using "remove me" as the subject.
