Feature-Aided Tracking for Marine Mammal Detection and Classification
Bibliographic record
Abstract
This paper presents a method to detect and classify odontocete echolocation clicks as well as to estimate the number of animals that are vocalizing.A transient detector using the Page test [1][2][3] is used to extract the clicks: the click time, the click duration, the click amplitude and the spectral information of the clicks are extracted.A probability distribution over the species is assigned to each click, based on the spectral information of the click.The estimation of the number of animals is done using feature-aided multi hypothesis tracking (MHT) algorithms.The association is based on the assumptions of slowly-varying click amplitude and intra-click timing [4][5].This work has been done on the dataset provided by the organizers of the 3rd International Workshop on the Detection and Classification o f Marine Mammals using Passive Acoustics, Boston, July 2007.This dataset consists of training and test data; the training data includes vocalizations of three species: Blainville's beaked whale (Mesoplodon densirostris), Risso's dolphin (Grampus griseus) and short-finned pilot whale (Globicephala macrorhynchus).s o m m a i r e Cet article prsente une mthode de dtection et classification de clics d 'cholocation d 'odontoctes ainsi que d'estimation du nombre d 'animaux vocalisant en mme temps.Un dtecteur de transitoires utilisant le test de Page [1-3] permet d 'extraire les clics : leurs instants, dures et amplitudes ainsi que leurs spectres sont stocks.L 'analyse du spectre d 'un clic permet de lui affecter une probabilit de distribution parmi les diffrentes espces.L 'estimation du nombre d 'animaux se fait l'aide d 'un algorithme de tracking (multi hypothesis tracking MHT).L 'association des clics est base sur l'hypothse que l 'amplitude et l'intervalle entre deux clics varient lentement en fonction du temps.Ce travail a t ralis sur le jeu de donnes mis disposition par les organisateurs du 3rd International Workshop on the Detection and Classification o f Marine Mammals using Passive Acoustics, Boston, Juillet 2007.Ce dernier se compose de donnes d 'entrainement sur trois espces : Msoplodon de Blainville (Mesoplodon densirostris), dauphins de Risso (Grampus griseus) et globicphales (Globicephala macrorhynchus) et de fichiers test.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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.
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 teacher head, 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".