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Record W2776657231

Indie-Pop Voice: How a Pharyngeal/Retracted Articulatory Setting May Be Driving a New Singing Style

2017· article· en· W2776657231 on OpenAlexaffvenue
C. K. Jones, Murray Schellenberg, Bryan Gick

Bibliographic record

VenueCanadian acoustics · 2017
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSingingStyle (visual arts)Indie filmSpeech recognitionComputer scienceAcousticsArtVisual arts
DOInot available

Abstract

fetched live from OpenAlex

Different genres of singing may be characterized in part by singers’ articulatory settings (Gick et al., 2004; Bateman,2003; Nair, Nair & Reishofer, 2016). Bateman (2003, p. 122), for example, notes that pop singing is often characterized by horizontal expansion and vertical compression of the lips, while jazz uses labial protrusion. The articulatory settings associated with a given singing style are known to have noticeable, systemic effects on the acoustics of the singer’s pronunciation (e.g. Ophaug, 2010). Recently, a new singing quality has emerged, sometimes called “indie-pop voice” (e.g. Ugwu, 2015). Initial popular descriptions focused on characteristic vowel pronunciations and unusual front-rising diphthongs, usually before coronal consonants. Careful observation suggests that, while the details and degree of these characteristics vary from artist to artist, they have in common a pervasive pharyngeal voice quality. We consider the possibility that a distinctive articulatory setting is used by “indie-pop”singers, which may be responsible for the observed effects on sung pronunciation. For the present study, we selected 8 contemporary pop artists, and took spectral measurements of the vowels from their successful songs, and from spoken interviews. Preliminary results reveal a high F1 across the “indie-pop vowel space (particularily the front vowels), a strong correlate of pharyngealization. We also observed lower F2 in most vowels (particularily high-back), a correlate of retracted tongue-root (Aralova, 2011). Low-back vowels were exceptions to this, possibly because an articulatory setting with retracted tongue could be redundant with the low tongue position inherent to these vowels. Global tongue retraction may also explain the unusual diphthongs: the greater distance between the tongue’s vocalic position and a coronal target for the following consonant could lead to an audible transition. Normal 0 false false false EN-CA X-NONE X-NONE References Aralova, N., Grawunder, S., & Winter, B. (2011). The acoustic correlates of tongue root vowel harmony in Even (Tungusic). In  Proceedings of the 17th International Congress of Phonetic Sciences (ICPhS XVII) (pp. 240-243). Bateman, L. A. (2003).  Soprano, Style and Voice Quality: Acoustic and Laryngographic Correlates . M.A. Thesis. University of Victoria. Clements, G. N. (2015). The hierarchical representation of vowel height.  Features in Phonology and Phonetics: Posthumous Writings by Nick Clements and Coauthors ,  21 , 25. Gick, B., Wilson, I., Koch, K., & Cook, C. (2005). Language-specific articulatory settings: Evidence from inter-utterance rest position.  Phonetica ,  61 (4), 220-233. Gick, B. (1999). A gesture-based account of intrusive consonants in English.  Phonology ,  16 (01), 29-54. Nair, A., Nair, G., & Reishofer, G. (2016). The low mandible maneuver and its resonential implications for elite singers.  Journal of Voice , 30(1), 128-e13. Ophaug, W. (2010).  Sangfonetikk En innforing . Bergen: Fagboklaget. Ugwu, Reggie (2015). Selena Gomez’s “Good For You” And The Rise Of “Indie Pop Voice.” Buzzfeed.com. https://www.buzzfeed.com/reggieugwu/what-is-indie-pop-voice?utm_term=.qgvJ2GqJB#.buLX98zXp Normal 0 false false false EN-CA X-NONE X-NONE <w:LsdException Locked=false

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.274
Teacher spread0.253 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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