00983nas a2200109   4500008004100000245009700041210006900138520048600207100001700693700001500710856014800725       2013                        eng d00aFurther Progress in Computational Bioacoustics needs Open Access and Registry of Sound Files0 aFurther Progress in Computational Bioacoustics needs Open Access3 a<p>Many&nbsp; papers&nbsp; on&nbsp; computational&nbsp; bioacoustics&nbsp; refer&nbsp; to&nbsp; recordings&nbsp; that&nbsp; are&nbsp; not&nbsp; publicly&nbsp; available.&nbsp; This&nbsp; practice&nbsp; is&nbsp; in&nbsp; stark&nbsp; contrast&nbsp; to&nbsp; other&nbsp; disciplines&nbsp; such&nbsp; as&nbsp; genetics,&nbsp; where&nbsp; deposition&nbsp; of&nbsp; sequences&nbsp; in&nbsp; publicly accessible databases is a prerequisite for publication in peer-reviewed journals.</p>
1 aRiede, Klaus1 aJahn, Olaf  uhttps://www.researchgate.net/publication/262723468_Further_Progress_in_Computational_Bioacoustics_needs_Open_Access_and_Registry_of_Sound_Files02240nas a2200217   4500008004100000022001300041245008900054210006900143260001600212300001000228490000700238520156300245653002101808653002301829653002601852100002101878700002501899700001501924700001701939856006601956       2014                        eng d  a0003682X00aAutomatic bird sound detection in long real-field recordings: Applications and tools0 aAutomatic bird sound detection in long realfield recordings Appl  cJan-06-2014  a1 - 90 v803 a<p>The primary purpose for pursuing this research is to present a modular approach that enables reliable automatic bird species identification on the basis of their sound emissions in the field. A practical and complete computer-based framework is proposed to detect and time-stamp particular bird species in continuous real field recordings. Acoustic detection of avian sounds can be used for the automatized monitoring of multiple bird taxa and querying in long-term recordings for species of interest for research- ers, conservation practitioners, and decision makers, such as environmental indicator taxa and threa- tened species. This work describes two novel procedures and offers an open modular framework that detects and time-stamps online calls and songs of target bird species and is fast enough to report results in reasonable time for non-processed field recordings of many thousands files and is generic enough to accommodate any species. The framework is evaluated on two large corpora of real field data, targeting the calls and songs of American Robin Turdus migratorius , a Northamerican oscine passerine (true song- bird) and the Common Kingfisher Alcedo atthis , a non-passerine species with a wide distribution through- out Eurasia and North Africa. With the aim of promoting the widespread use of digital autonomous recording units (ARUs) and species recognition technologies the processing code and a large corpus of audio recordings is provided in order to enable other researchers to perform and assess comparative experiments.</p>
10abird recognition10abirdsong detection10acomputational ecology1 aPotamitis, Ilyas1 aNtalampiras, Stavros1 aJahn, Olaf1 aRiede, Klaus  uhttp://linkinghub.elsevier.com/retrieve/pii/S0003682X14000024