Measures and metrics

1 Acoustics

Using Praat for linguistic research is an excellent starting point for learning which measurements and metrics can be used for which purposes and how to obtain them in Praat.

Common measurements are: Voice Onset Time, f0, pulses, jitter, shimmer, Harmonics-To-Noise ratio, formant frequency and bandwidth, intensity, harmonic amplitude, spectral tilt, centre of gravity, …

This tutorial explains how to extract cepstral peak prominence (CPP) measures in Praat: A Practical Guide to Calculating Cepstral Peak Prominence in Praat, https://doi.org/10.31219/osf.io/yvp4s.

2 Perceptual data

This tutorial by Joseph Casillas explains how to analyse categorisation data using linear models.

In particular, the tutorial shows how to obtain an estimate of the category boundary and the sharpness of the boundary.

3 Articulatory data

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4 Recent developments

• Nasality from Acoustic Features (NAF): Chris Carignan. 2021. A practical method of estimating the time-varying degree of vowel nasalization from acoustic features https://doi.org/10.1121/10.0002925.