Experimental modal study of the Kurdish long necked lute, Tanbour.
Bibliographic record
Abstract
This research presents the results of an experimental study of the vibration properties of the Kurdish long necked lute called Tanbour (aka Tambour, Tanbur, or Tamurah). A system transfer function of this musical instrument has been derived. [Hedayat Alghassi et al., “Time series analysis of the Kurdish long necked lute Tanbour,”, J. Acoust. Soc. Am. 122 (2007)]. To investigate the complex vibrational dynamics of Tanbour, the deflection patterns of Tanbour’s pear shaped soundboard was acquired using a low-end time-averaged electronic speckle pattern interferometery (ESPI) imaging system. Later, the acquired image patterns were categorized as three resonance modes: near certain, dipolar, and quadrupolar. The three noticeable modes are assigned to the specific plectrum angles and positions. Moreover the short term Fourier transform (STFT) of the sound produced is derived for those plectrums. The strings were excited by a controlled mechanical plucker to maintain a high precision. Finally the sound spectra were related to the vibrational modes of the instrument, so one can approximately speculate the vibrational mode of Tanbour’s soundboard from the STFT spectra for a basic plectrum.The criteria of observing three obvious vibration modes from the ESPI acquired images can also be used to achieve the optimum location of the bridge on the sound board.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".