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Record W2896946880 · doi:10.1121/1.5067766

Characterization and modeling of the Erhu

2018· article· en· W2896946880 on OpenAlexaff
Chris Waltham, Laura Kim

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2018
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsString (physics)ViolinAcousticsTube (container)Characterization (materials science)Python (programming language)Bridge (graph theory)Materials sciencePhysicsOpticsComputer scienceComposite materialTheoretical physicsAnatomy

Abstract

fetched live from OpenAlex

The erhu is a two-string bowed instrument characterized in Chinese organology as a silk instrument (owing to the traditional string material), and by Hornbostel and Sachs as a spike fiddle. The overall length of the instrument is about 80 cm, and the vibrational length of the strings is around half of that. The soundbox is a tube (hexagonal, octagonal, or cylindrical) of about 13 cm length and 9 cm diameter. One end of the tube is covered by a membrane of tensioned python skin and the other is mostly open, usually with a grille. The two strings are stretched over a small bridge positioned centrally on the membrane. In spite of the great difference in soundbox structure between the erhu and a Western violin, the radiated sounds of the two instruments have a lot in common with each other (and with the human voice). Vibrational and acoustic measurements have been made on several erhus: cavity modes, surface velocities and radiated sound. A straightforward coupled-oscillator model has been found to reproduce many of the measurements, and also to allow mechanical characterization of the membrane in situ.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.241
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2018
Admission routes1
Has abstractyes

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