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Record W2112551862 · doi:10.1109/icassp.2004.1326821

Timbral analogies between vowels and plucked string tones

2004· article· en· W2112551862 on OpenAlexaff
Caroline Traube, Philippe Depalle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsFormantGuitarTimbreVowelVibratoSpeech recognitionAcousticsComputer scienceString (physics)Comb filterFilter (signal processing)SingingMathematicsMusicalArtPhysics

Abstract

fetched live from OpenAlex

Classical guitarists vary plucking position to achieve different timbres from nasal and metallic - closer to the bridge - to round and mellow -closer to the middle of the string. An interesting set of timbre descriptors commonly used by guitarists seem to refer to phonetic gestures: thin, nasal, round, open, etc. The magnitude spectrum of guitar tones being comb-filter shaped, we propose to see the local maxima of that comb filter structure as vocal formants. When guitarists talk about a guitar sound as being round, it would mean that it sounds like a round-shaped-mouth sound, such as the vowel /O/. Although the acoustic systems of the guitar and of the voice mechanism are structurally different, we highlight the fact that guitar tones and a particular set of vowels display similar formant regions. We also investigate the possibility of applying some distinctive features of speech sounds to guitar sounds.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.022
GPT teacher head0.246
Teacher spread0.223 · 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 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

Citations8
Published2004
Admission routes1
Has abstractyes

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