Acoustic Characteristics of Pakistani English Vowel Sounds
Bibliographic record
Abstract
The purpose of this investigation was to document acoustic characteristics of Pakistani English (PaKE) vowel sounds. The experiment was designed to examine the properties of ten vowels produced by Pakistani ESL learners. The analysis is based on the voice samples of recorded 50 CVC words. Total 5000 (10 10 50=5000) voiced samples were analyzed. The data consisted of 50 words of ten English vowel sounds [i: ɪ e ɔ: æ ə ɑ: u: ɒ ʊ]. Ten ESL speakers recorded their voice samples on Praat speech processing tool installed on laptop. Three parameters were considered i.e., fundamental frequency (F0), vowel quality (F1-F2) and duration. Formant patterns were judged manually by visual inspection on Praat Speech Processing Tool. Analysis of formant frequency shows numerous differences between male and female of F1 and F2, fundamental frequency and duration of English vowels. The voice samples provide evidence for higher and lower frequency of vowel sounds. Additionally, the data analysis illustrates that there were statistical differences in the values of short and long vowels coupled with vowel space plot showing explicit differences in locating the production of vowels of male & female vowel space acoustic realizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".