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Record W1932255786 · doi:10.3109/02699206.2015.1080762

Articulation and acoustics of Kannada affricates: A case of geminate /ʧ/

2015· article· en· W1932255786 on OpenAlexafffund
Alexei Kochetov, N. Sreedevi

Bibliographic record

VenueClinical Linguistics & Phonetics · 2015
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaAll India Institute of Speech and Hearing
KeywordsStop consonantConsonantFormantVowelPlace of articulationKannadaManner of articulationPsychologyArticulation (sociology)Phonological ruleLinguisticsSpeech productionAcousticsSpeech recognitionComputer sciencePhonologyArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Affricates have been observed to be problematic in phonological acquisition and disordered speech across languages, due to their relatively complex spatial and temporal articulatory patterns. Remediation of difficulties in the production of affricates requires understanding of how these sounds are typically produced. This study presents the first systematic articulatory and acoustic investigation of voiceless geminate affricate /ʧ/ in Kannada (a Dravidian language), compared to the palatal glide and the voiceless dental stop. Ultrasound data from 10 normal speakers from Mysore, India revealed that /ʧ/ is produced with the tongue shape intermediate between the palatal glide and the dental stop, and with the laminal constriction at the alveolar ridge. The observed articulatory differences are reflected in acoustic formant patterns of vowel transitions and stop/affricate bursts. Altogether, the results show that the Kannada consonant in question is an alveolopalatal affricate, supporting some of the previous descriptive phonetic accounts of the language and raising questions for further research on normal and disordered speech. The results and our survey of literature also suggest that affricates in South Asian languages tend to be phonetically variable and historically unstable compared to other consonant articulations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.171
GPT teacher head0.478
Teacher spread0.307 · 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 teacher head, not a consensus.

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

Citations7
Published2015
Admission routes2
Has abstractyes

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