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proto-southwestern-tai revised: a new reconstruction - seals 22

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10 Marc Brunelle<br />

f0 and open quotient were calculated from the same EGG signal, the open quotient values<br />

corresponding to excluded f0 values were also excluded.<br />

2.4.2 Open quotient (voice quality)<br />

Open quotient corresponds to the proportion of the glottal cycle during which the glottis is<br />

open. The open quotient is correlated with voice quality. A large open quotient<br />

corresponds to a breathier voice quality while a small open quotient corresponds to a<br />

creaky, tight or pressed voice quality (Ní Chasaide and Gobl 1997; Mazaudon and<br />

Michaud 2008 for good overviews).<br />

The open quotient was extracted from the EGG results with a routine based on<br />

Alexis Michaud’s MATLAB scripts (http://voiceresearch.free.fr/egg/). The routine<br />

smoothes the EGG signal, gets its derivative and calculates the open phase of the glottal<br />

cycle from the maximum peaks and valleys of the derivative. Once again, a few suspicious<br />

measurements were removed from the dataset by excluding values that were more than two<br />

standard deviations away from the mean (calculated independently for each speaker).<br />

Since f0 and open quotient were calculated from the same EGG signal, the f0 values<br />

corresponding to excluded open quotient values were also excluded.<br />

2.4.3 Formant frequencies<br />

The first and second formants, which are the acoustic correlates of vowel height and<br />

frontness-backness respectively, were calculated with a Praat script from the acoustic<br />

signal. However, since this signal is noisy and faint for most speakers, the Praat formant<br />

tracker returned numerous suspicious values. These values were excluded in the following<br />

way: Mean F1 and F2 values were calculated for each vowel quality in the speech of each<br />

subject. All values that were more than two standard deviations away for the mean F1 or<br />

F2 for a given vowel quality were then excluded.<br />

2.4.4 Duration<br />

As the speech rate of speakers tends to vary between utterances of the wordlist and even<br />

during the same wordlist, it is necessary to normalize duration values before comparing<br />

them. A common way to normalize duration is to select a fixed part of the frame sentence<br />

as a benchmark for controlling speech rate. Unfortunately, the frame sentence that we used<br />

for this experiment is not suitable for this type of normalization. Speakers know what the<br />

target word is and can lengthen it independently of the rest of the frame sentence. For this<br />

reason, and since duration has never been claimed to play a central role in the Cham<br />

register contrast, duration results will not be reported.<br />

2.4.5 Normalization<br />

In order to facilitate the comparison and visual representation of data from many speakers<br />

and dialects, all acoustic indicators were normalized using a Z-score method. This method<br />

consists in rescaling all the values for a given indicator so that they have an average of 0<br />

and a standard deviation of 1. Z-scores for open quotient and f0 were computed over all of<br />

the measurements made in final syllable vowels. Z-scores for F1 and F2 were computed<br />

similarly, but independently for each vowel.

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