I am listening for a very definite pop in a real time audio signal. So far I have managed to get the audio signal in at a sampling rate of 44100.0 Hz and 2048 frames per second. I have visualized the waveform and computed and visualized the FFT. I am currently looking for distinct features to recognize this pop sound (it is the sound of a ping pong ball on the table).
I found a few papers which suggested features such as the zero crossing rate of a percussive sound like this http://www.csl.sony.fr/downloads/papers/2000/gouyon-dafx2000.pdf. However I am struggling a bit to identify the percussive envelop within the signal. I would like to identify a peak in a certain frequency range within my FFT as well, then combine the existence of an envelope with a peak in the correct range to determine whether a sound was heard.
I have two questions, how would I identify an envelope in the time domain, or how would I approach this problem. Further, how could I identify a peak in the frequency domain when I have a very fine mesh FFT (lots of bins and noise). I also have a lot of pink noise as this is a real time audio recording, so I have louder frequencies toward the bottom end than the top end, but I haven't managed to get those frequencies out of my FFT (I don't need to worry about converting back to the time domain).
- Identify envelopes beside natural noise
- Identify FFT peaks beside natural noise
- Any experience with noticing percussive transients?