—recordings
—taxa
—traits
—annotations

Listen to the
living world

BioAcoustica is a free, open repository of wildlife sound recordings from the Natural History Museum, London.

Browse by taxon

Taxonomic index of the BioAcoustica collection

Loading taxa…

Browse traits

Acoustic and biological measurements in the BioAcoustica collection

Browse annotations

Recording annotations from ann-o-mate

Browse specimens

The specimens that recordings are of, from the collections

Acoustic Diversity Classifier for Automated Marine Big Data Analysis

#53441 · bio.acousti.ca · Conference Paper

Citation

Hachicha Belghith, Emna; Rioult, Francois; Bouzidi, Medjber (2018). Acoustic Diversity Classifier for Automated Marine Big Data Analysis. 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Abstract

In recent years, big data has increasingly drawn the attention of the R&D community. With the advent of marine data, monitoring marine big data becomes a new trend that advocates for assessing human impact on marine data. Nevertheless, there is a lack of support for acoustic sounds classification in such environment, covering diverse data that can exist (i.e., fish sounds, human activities sounds and environmental sounds). In this paper, we cope with this gap by proposing a deep learning-based approach that enables to efficiently classify these acoustic sounds aiming at automating the support of marine sound analysis in big data architectures. A set of experiments have been conducted using a real marine dataset to demonstrate the feasibility and the effectiveness of our approach.

Recordings map

Where the specimens that recordings are of were collected, not where the sound was recorded

Loading…
Loading…
Loading…
API 0