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Record W2994222883

A look at throat singing

2001· article· en· W2994222883 on OpenAlexaffvenue
Alberto Behar, M. Sunil Kumar, Hans Kunov

Bibliographic record

VenueCanadian acoustics · 2001
Typearticle
Languageen
FieldComputer Science
TopicMusic and Audio Processing
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThroatSingingAcousticsVocal foldsFundamental frequencyVibrationLarynxSound (geography)PhysicsAudiologyAnatomyBiologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Throat singing enables a singer to sing simultaneous with two,three and four voices. The main sound is generated by the vocal cords and other flexible structures like false cords, arytenoid cartilages, aryepiglottic folds and epiglottic root are vibrated to cause throat singing. The spectral analysis of the three samples of throat singing depicts peaks and valleys at the same frequencies with some large differences in the sound level at same frequency. Among the three distinct peaks observed, the first peak is due to the vibration of the vocal cords, corresponding to the fundamental frequency. The second peak is the harmonic of the first whereas the third peak represents the independant vibrations of the structures other than vocal cords.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0150.004

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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2001
Admission routes2
Has abstractyes

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