Adaptation of Pre-trained Deep Neural Networks for Sound Event Detection Facilitating Smart Homecare

Autor: Shin, Mikyong Deborah

As foreseen by numerous researchers, the worldwide demographic changes of the elderly population in 2050 will be expected to grow by over 30% in the global population, which has urged to development of cost-efficient and effective automated sound rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4853::2434945abe41c61fdc2703b0c4483093
https://trepo.tuni.fi/handle/10024/149443

Spatial and temporal variability of ambient underwater sound in the Baltic Sea

Autor: Leif Persson, Jukka Pajala, Jaroslaw Tegowski, Aleksander Klauson, Peter Sigray, Radomil Koza, Mathias H. Andersson, Jakob Tougaard, Dominique Clorennec, Magnus Wahlberg, Mirko Mustonen, Thomas Folegot

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Mustonen, M, Klauson, A, Andersson, M, Clorennec, D, Folegot, T, Koza, R, Pajala, J, Persson, L, Tegowski, J, Tougaard, J, Wahlberg, M & Sigray, P 2019, ' Spatial and Temporal Variability of Ambient Underwater Sound in the Baltic Sea ', Scientific Reports, vol. 9, no. 1, 13237 . https://doi.org/10.1038/s41598-019-48891-x
Scientific Reports
Mustonen, M, Klauson, A, Andersson, M, Clorennec, D, Folegot, T, Koza, R, Pajala, J, Persson, L, Tegowski, J, Tougaard, J, Wahlberg, M & Sigray, P 2019, ' Spatial and Temporal Variability of Ambient Underwater Sound in the Baltic Sea ', Scientific Reports, vol. 9 . https://doi.org/10.1038/s41598-019-48891-x

During last decades, anthropogenic underwater sound and its chronic impact on marine species have been recognised as an environmental protection challenge. At the same time, studies on the spatial and temporal variability of ambient sound, and how it

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b17a852d809a9be52ff041fe4f219f
http://hdl.handle.net/10138/347128