Hidden Markov Modeling for humpback whale (Megaptera novaeangliae) call classification - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

Hidden Markov Modeling for humpback whale (Megaptera novaeangliae) call classification

Federica Pace
  • Function : Correspondent author
  • PersonId : 939348

Connectez-vous pour contacter l'auteur
Paul White
  • Function : Author
  • PersonId : 939349
Olivier Adam

Abstract

This study proposes a new approach for the classification of the calls detected in the songs with the use of Hidden Markov Models (HMMs) based on the concept of subunits as building blocks. HMMs have been used once before for such task but in an unsupervised algorithm with promising results, and they are used extensively in speech recognition and in few bioacoustics studies. Their flexibility suggests that they may be suitable for the analysis of the varied repertoire of humpback whale (Megaptera novaeangliae) calls because they cope well with variations in the call durations, which is a common feature in humpback whale vocalizations. Another attractive characteristic of HMMs is that highly developed tool-set is widely available as a consequence of the widespread use of their employment for human speech analysis.We describe the HMM classification method and show that a high level of performance can be achieved with modest requirements both in terms of computational load and storage. Training stage requires minimal manual input and once trained the recognition process is fully automated. We will present how the classification performance is affected by different amount of training.
Fichier principal
Vignette du fichier
hal-00810807.pdf (391.99 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-00810807 , version 1 (23-04-2012)

Identifiers

  • HAL Id : hal-00810807 , version 1

Cite

Federica Pace, Paul White, Olivier Adam. Hidden Markov Modeling for humpback whale (Megaptera novaeangliae) call classification. Acoustics 2012, Apr 2012, Nantes, France. ⟨hal-00810807⟩

Collections

ACOUSTICS2012
69 View
2356 Download

Share

Gmail Facebook Twitter LinkedIn More