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Record W2125086342

Definition of the Antarctic and Pygmy blue whale call templates. Application to fast automatic detection

2008· preprint· en· W2125086342 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian acoustics · 2008
Typepreprint
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsWhaleSubspeciesTemplateSIGNAL (programming language)Computer scienceFocus (optics)Filter (signal processing)Artificial intelligenceGeologyPattern recognition (psychology)Computer visionPhysicsEcologyBiologyPaleontologyOptics
DOInot available

Abstract

fetched live from OpenAlex

This paper deals with the automatic detection of low-frequency Antarctic (Balaenptera musculus interme dia) and Pygmy (B. m. brevicauda) blue whale sounds produced in the Southwestern Indian Ocean.A new detection method based on a matched filter is introduced.Four original match templates are presented and tested against original blue whale subspecies calls.The mathematical formulas of these templates, defined by Gaussian curve models, are provided.The detection threshold is based on the correlation coefficients.The threshold was set to reduce false detections obtained on simulated signals at various signal-to-noise ratios.We focus our work on the true detections of whale calls.Moreover, to obtain a real-time system, we decrease the computational time by decimating the recorded signal (Fs=250Hz).We show that this new method enables us to effectively detect both subspecies in various ambient noises, in the Southern Ocean. RESUMEDans ce papier, les sons de basses frquences mis par les baleines bleues Antarctique (Balaenoptera muscu lus intermedia) et pygmes (B.m. brevicauda) dans le secteur sud -ouest de l 'Ocan Indien ont t dtect au tomatiquement partir d 'une technique de filtrage adapt.Pour ce faire, des signaux synthtiques ont t crs partir de signaux originaux en modlisant leurs quations mathmatiques partir de courbes gaussiennes.La dtection se fait alors par la corrlation entre le signal entrant et le modle calcul (template).Le seuil de dtection a t choisi au pralable en simulant une srie de signaux dans des rapports signal sur bruit diffrents.Au final, un seuil de dtection lev a t choisi pour minimiser les fausses alarmes au risque d 'augmenter les dtections manques.Pour diminuer le temps de calcul, le signal original (Fe=250Hz) a t dcim.Cette mthode originale c 'est rvle trs efficace pour dtecter les sons mis par ces deux sous espces de baleines bleues dans des niveaux de bruit ambiant trs varis comme c 'est le cas dans cette partie de l'Ocan Indien.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.680

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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