S1.2 Eco-acoustics

25 Sep 2018
13:30 - 15:30
lecture Hall 5

S1.2 Eco-acoustics

S1.2 _ Analysis of ecoacoustic recordings: detection, segmentation and classification. (Session Chairs: Jérôme Sueur and Dan Stowell)

Ecoacoustics is a newly emerged discipline that aims at tackling ecological research questions through the lens of sound analysis. Ecoacoustics covers several questions in marine, freshwater and terrestrial environments dealing with biodiversity monitoring, population ecology, community ecology and landscape ecology. One of the key approaches of ecoacoustics consists in identifying sounds of ecological importance in environmental recordings that were collected in an unattended way by automatic recorders. This search task is made difficult by the occurrence of background noise due to human activities, the co-occurrence of several sounds of interest, the degradation of the sounds of interest related to their propagation in the environment, a high-degree of variability of the sounds of interest, a large amount of data, and a lack of reference archives. Solutions including computer processes are currently in development to try to get around these difficulties. This session will be the occasion to report and share new techniques involving signal analysis, machine learning, deep learning and high dimension statistics for advances in detection, segmentation, supervised and unsupervised classification of sound events.

Keywords: ecoacoustics, sound analysis, classification

Talk 01-08

What male humpback whale song chorusing can and cannot tell us about their ecology: strengths and limitations of passive acoustic monitoring of a vocally active baleen whale
Anke Kügler and Marc Lammers

A Novel Set of Acoustic Features for the Categorization of Stridulatory Sounds in Beetles
Carol Bedoya, Eckehard Brockerhoff, Michael Hayes, Richard Hofstetter, Daniel Miller and Ximena Nelson

AUREAS: a tool for recognition of anuran vocalizations
William E. Gómez, Claudia V. Isaza, Sergio Gómez, Juan M. Daza and Carol Bedoya

Noise robust 2D bird localization via sound using microphone arrays
Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida and Kazuhiro Nakadai

Fine-scale observations of spatiotemporal dynamics and vocalization type of birdsongs using microphone arrays and unsupervised feature mapping
Reiji Suzuki, Shinji Sumitani, Naoaki Chiba, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai and Hiroshi Okuno

Improving acoustic monitoring of biodiversity using deep learning-based source separation algorithms
Mao-Ning Tuanmu, Tzu-Hao Lin, Joe Chun-Chia Huang, Yu Tsao and Chia-Yun Lee

Articulating citizen science, automatic classification and free web services for long-term acoustic monitoring: examples from bat monitoring schemes in France and UK
Bas Yves, Newson Stuart, Barré Kévin, Julien Jean-François and Kerbiriou Christian