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Record W3127676858 · doi:10.1097/aud.0000000000000966

The Influence of Vowel Identity, Vowel Production Variability, and Consonant Environment on Envelope Following Responses

2021· article· en· W3127676858 on OpenAlexaff
Vijayalakshmi Easwar, Emma Bridgwater, David W. Purcell

Bibliographic record

VenueEar and Hearing · 2021
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsWestern University
Fundersnot available
KeywordsVowelConsonantContext (archaeology)FormantAudiologyMathematicsSpeech recognitionAcousticsComputer scienceGeographyPhysicsMedicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The vowel-evoked envelope following response (EFR) is a useful tool for studying brainstem processing of speech in natural consonant-vowel productions. Previous work, however, demonstrates that the amplitude of EFRs is highly variable across vowels. To clarify factors contributing to the variability observed, the objectives of the present study were to evaluate: (1) the influence of vowel identity and the consonant context surrounding each vowel on EFR amplitude and (2) the effect of variations in repeated productions of a vowel on EFR amplitude while controlling for the consonant context. DESIGN: In Experiment 1, EFRs were recorded in response to seven English vowels (/ij/, /Ι/, /ej/, /ε/, /æ/, /u/, and /JOURNAL/earher/04.03/00003446-202105000-00017/inline-graphic1/v/2021-04-30T105427Z/r/image-tiff/) embedded in each of four consonant contexts (/hVd/, /sVt/, /zVf/, and /JOURNAL/earher/04.03/00003446-202105000-00017/inline-graphic2/v/2021-04-30T105427Z/r/image-tiffVv/). In Experiment 2, EFRs were recorded in response to four different variants of one of the four possible vowels (/ij/, /ε/, /æ/, or /JOURNAL/earher/04.03/00003446-202105000-00017/inline-graphic3/v/2021-04-30T105427Z/r/image-tiff/), embedded in the same consonant-vowel-consonant environments used in Experiment 1. All vowels were edited to minimize formant transitions before embedding in a consonant context. Different talkers were used for the two experiments. Data from a total of 30 and 64 (16 listeners/vowel) young adults with normal hearing were included in Experiments 1 and 2, respectively. EFRs were recorded using a single-channel electrode montage between the vertex and nape of the neck while stimuli were presented monaurally. RESULTS: In Experiment 1, vowel identity had a significant effect on EFR amplitude with the vowel /æ/ eliciting the highest amplitude EFRs (170 nV, on average), and the vowel /ej/ eliciting the lowest amplitude EFRs (106 nV, on average). The consonant context surrounding each vowel stimulus had no statistically significant effect on EFR amplitude. Similarly in Experiment 2, consonant context did not influence the amplitude of EFRs elicited by the vowel variants. Vowel identity significantly altered EFR amplitude with /ε/ eliciting the highest amplitude EFRs (104 nV, on average). Significant, albeit small, differences (<21 nV, on average) in EFR amplitude were evident between some variants of /ε/ and /u/. CONCLUSION: Based on a comprehensive set of naturally produced vowel samples in carefully controlled consonant contexts, the present study provides additional evidence for the sensitivity of EFRs to vowel identity and variations in vowel production. The surrounding consonant context (after removal of formant transitions) has no measurable effect on EFRs, irrespective of vowel identity and variant. The sensitivity of EFRs to nuances in vowel acoustics emphasizes the need for adequate control and evaluation of stimuli proposed for clinical and research purposes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.039
GPT teacher head0.344
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

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