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Record W126277046

Perceptual Evaluation of Vibrato Models

2005· article· en· W126277046 on OpenAlexaff
Vincent Verfaille, Catherine Guastavino, Philippe Depalle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic and Audio Processing
Canadian institutionsMcGill University
Fundersnot available
KeywordsVibratoSpectral envelopeLoudnessAmplitude modulationEnvelope (radar)MathematicsAcousticsSpeech recognitionModulation (music)TimbreFrequency modulationPerceptionAmplitudeCommunicationPsychologySingingComputer sciencePhysicsTelecommunicationsOptics
DOInot available

Abstract

fetched live from OpenAlex

We promote a clearer definition of vibrato(Seashore, 1932),based on a review of various vibrato features.We also propose a generalised vibrato effect generator that includes spectral envelope modulation,and a frequency-dependent hysteresis behaviour.We then investigate the influence of spectral envelope modulation on perceived quality with a double-blind randomized ABcomparison task.Eight participants listened to12pairs of sounds with vibrato matched for loudness.Each pair included one sound with constant average spectral envelope (identical amplitude modulation over all frequencies) and one with modulated spectral envelope (frequency dependent amplitude modulation).Participants were asked to choose which version sounded the most natural.The statistical analysis revealed a significant preference for sounds with modulated spectral envelope (p<0.001).Our results highlight the need to consider spectral envelope modulation for vibrato modelling.

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)0.002
metaresearch head score (Gemma)0.013
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.082
GPT teacher head0.296
Teacher spread0.214 · 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

Citations27
Published2005
Admission routes1
Has abstractyes

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