Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ayinde M. Usman"'
Publikováno v:
IEEE Access, Vol 8, Pp 105181-105206 (2020)
Cetaceans have elicited the attention of researchers in recent decades due to their importance to the ecosystem and their economic values. They use sound for communication, echolocation and other social activities. Their sounds are highly non-station
Externí odkaz:
https://doaj.org/article/3314af6b3a4e4e1b80b85622c71b8678
Publikováno v:
SAIEE Africa Research Journal. 112:15-23
Passive acoustic monitoring (PAM) is generally usedto extract acoustic signals produced by cetaceans. However, the large data volume from the PAM process is better analyzed using an automated technique such as the hidden Markovmodels (HMM). In this p
Publikováno v:
The Journal of the Acoustical Society of America. 147(2)
This letter proposes an empirical mode decomposition (EMD) based hidden Markov model (HMM) approach for the detection of mysticetes' pulse calls such as the Bryde's whales. The HMM detection capabilities depend on the deployed feature extraction (FE)
Publikováno v:
Ecological Informatics. 63:101306
The detection and classification of Mysticetes' vocalisations have evoked the attention of researchers over the years because of their relevance to the marine ecosystem. These vocalisations are gathered employing different passive acoustic monitoring
Publikováno v:
Ecological Informatics. 57:101087
An Increase in the study of cetaceans' sounds has motivated the development of different automated sound detection and classification techniques. Passive acoustic monitoring (PAM) is extensively used to study these cetaceans' sounds over a period to