I am extremely new to signal analysis. And before posting I did a lot of reading on signal analysis, FFT and windowing. I am working on my thesis which involves comparison of speech signals lets say about 100 speech samples for a given sentence. I have the recordings and all the data. I have a few questions in order of what I think I should do.
I need to be able to separate noise from the signal. What parameters should I use for that? If I have to use a window function then what sort of window should I apply for that? Hanning, Kaiser or Rectangular.
What parameters should I look for to find out the similarities and the differences in the speech signals? Should I see the spectral densities, or the amplitudes and intensities?
Sorry for being so naive, I'm a real noob here. I hope you can help me out and bear with me patiently.
For software I am using PRAAT and for noise removal I think Audacity would be good. I used a Sony voice recorder for recording the speech samples.