Within the segment of speech chosen, ranging from a few minutes to
nearly half an hour, an attempt was made to examine every single
occurring vowel. A small percentage of the vowels are devoiced or
otherwise deleted in speech, while another, usually small subset was
excluded due to background noises or overlapping speech. The overall
numbers of tokens in these various categories are shown in
Table . For each dialect and speaker, it lists the total
number of vowels examined, the number of vowels which were found to
correspond to no acoustic vowel (that is, those which were
phonetically deleted, devoiced, etc.), the number of vowels which were
excluded due to overlapping speech, or background noises, and the
total number of vowels measured.
Dialect | Speaker | Total | = n(VØ) | + n(excl.) | + n(meas.). | %(VØ) |
JC | Juba B. | 2891 | 82 | 129 | 2680 | 3.0% |
JC | Roasta M. | 1872 | 75 | 124 | 1673 | 4.3% |
CWE | Rita S. | 4821 | 211 | 140 | 4470 | 4.5% |
CWE | Jim C. | 2856 | 121 | 406 | 2329 | 4.9% |
CWE | Judy H. | 1775 | 105 | 55 | 1615 | 6.1% |
AE | James H. | 1818 | 137 | 43 | 1638 | 7.7% |
LACE | Vince M. | 2190 | 104 | 196 | 1890 | 5.2% |
The percentage of phonological vowels which were found to be associated with no measurable acoustic vowel segment is calculated as the number of phonetically deleted segments out of the total number of measurable segments.
The deleted/devoiced tokens might be used as data for another study, examining the conditioning of vowel deletion and/or devoicing. My impression, as might have been expected, was that vowels deleted most often between voiceless obstruents. A more detailed characterization of these exclusions will have to await further analysis beyond the scope of this book.