Literature DB >> 15258666

Natural sound archives: past, present and future.

Richard Ranft1.   

Abstract

Recordings of wild animals were first made in the Palearctic in 1900, in the Nearctic in 1929, in Antarctica in 1934, in Asia in 1937, and in the Neotropics in the 1940s. However, systematic collecting did not begin until the 1950s. Collections of animal sound recordings serve many uses in education, entertainment, science and nature conservation. In recent years, technological developments have transformed the ways in which sounds can be sampled, stored and accessed. Now the largest collections between them hold altogether around 0.5 million recordings with their associated data. The functioning of a major archive will be described with reference to the British Library Sound Archive. Preserving large collections for the long term is a primary concern in the digital age. While digitization and digital preservation has many advantages over analogue methods, the rate of technology change and lack of standardization are a serious problem for the world's major audio archives. Another challenge is to make collections more easily and widely accessible via electronic networks. On-line catalogues and access to the actual sounds via the internet are already available for some collections. Case studies describing the establishment and functioning of sound libraries in Mexico, Colombia and Brazil are given in individually authored sections in an Appendix.

Mesh:

Year:  2004        PMID: 15258666     DOI: 10.1590/s0001-37652004000200041

Source DB:  PubMed          Journal:  An Acad Bras Cienc        ISSN: 0001-3765            Impact factor:   1.753


  5 in total

1.  Teaching with the macaulay library: an online archive of animal behavior recordings.

Authors:  Ileana Betancourt; Colleen M McLinn
Journal:  J Microbiol Biol Educ       Date:  2012-05-03

2.  From the past to the future: natural sound recordings and the preservation of the bioacoustics legacy in Portugal.

Authors:  Paulo A M Marques; Daniel M Magalhães; Susana F Pereira; Paulo E Jorge
Journal:  PLoS One       Date:  2014-12-04       Impact factor: 3.240

3.  Computational bioacoustics with deep learning: a review and roadmap.

Authors:  Dan Stowell
Journal:  PeerJ       Date:  2022-03-21       Impact factor: 2.984

4.  Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning.

Authors:  Dan Stowell; Mark D Plumbley
Journal:  PeerJ       Date:  2014-07-17       Impact factor: 2.984

Review 5.  The advertisement calls of Brazilian anurans: Historical review, current knowledge and future directions.

Authors:  Vinicius Guerra; Diego Llusia; Priscilla Guedes Gambale; Alessandro Ribeiro de Morais; Rafael Márquez; Rogério Pereira Bastos
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

  5 in total

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