I'm trying to strip an Audio signal to identify different Phonemes in the sample.
I have read a tutorial online that states that the Total Energy at different time intervals can be used to measure and then initialising a threshold can determine if this is White-Noise or if this is a Phoneme, I have used this method.
I have to implement another method for this, and someone has suggested that I count the total number of zero-crossings and then have a threshold value, I agree with this, however, I would like to implement another method.
I was thinking about creating an FFT Algorithm that puts all of the samples into the frequency of which I need and then using a threshold determine which is a Phoneme (i.e. the time interval with the higher frequencies, is considered the Phoneme).
What are the advantages and disadvantages to using an FFT over Zero-crossings?