The speech examples used as illustrations The initial setup is the same for both procedures – having a signal to work on, understanding the parameter settings, deciding where to make the slice etc. This Beginner’s manual describes the Sound editor procedure. Praat offers two routes to FFT slices: a simpler procedure in the Sound editor and a more involved procedure in the Objects window.LPC is not sensitive to fundamental frequency but the settings need to be carefully tuned for each speaker.FFT is easier to set up but is sensitive to fundamental frequency and so is less successful for higher pitched voices.Praat offers two analysis methods: FFT and LPC.Here is an example of the FFT slice, in its own window (vowel ).Then make the slice, which will appear in a new window. Then place the cursor (or make a selection for LTA) where the slice is to be taken, zooming as necessary for precision. The procedure begins with making a spectrogram to help you find your way about in the speech signal and find the location for the slice the spectrogram can be optimized for clarity and to tune it to higher pitched voices.Do you want to see formant peaks or voice harmonics?.Do you need a single moment in time, or a long time average (LTA)?.Depending on that, where will you locate the slice? Remember that the speech spectrum is changing continuously, so the location is critical.Why are you making a slice, what are you studying?. There are a number of decisions to be taken before making a slice.They are useful as aids to comparing local spectral events, or measuring spectral properties such as formant frequencies, formant levels or formant bandwidths. Spectral slices (or cross-sections) show the amplitude/frequency spectrum at a selected moment in the signal.Click LhereL to go directly to a Quick guide to spectral analysis instead.You should already be familiar with Making spectrograms and What are formants?.Creating an FFT slice in the Sound editor.
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