Intelligent sampling for colombian soundscapes using an artificial neural network

Luis Quiroz, Jairo Gómez, Oscar Agudelo, Luis Tobón

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Information extracted from environmental sounds has been of great importance to the analysis of ecological complexity in natural ecosystems. However, the study of these sounds does not have a universal protocol for the sampling and reduction of large quantities of data that it produces. This paper proposes to use a neural network to optimize the sampling of soundscapes of three Colombian ecosystems. The neural network is trained to identify meaningful temporal windows for audio recording from previously gathered data. This method simplifies the acoustic complexity analysis.

Idioma originalInglés
Título de la publicación alojadaApplied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
EditoresJuan Carlos Figueroa-Garcia, Eduyn Ramiro Lopez-Santana, Roberto Ferro-Escobar, Jose Luis Villa-Ramirez
EditorialSpringer Verlag
Páginas179-188
Número de páginas10
ISBN (versión impresa)9783319669625
DOI
EstadoPublicada - 2017
Evento4th Workshop on Engineering Applications, WEA 2017 - Cartagena, Colombia
Duración: 27 sep. 201729 sep. 2017

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen742
ISSN (versión impresa)1865-0929

Conferencia

Conferencia4th Workshop on Engineering Applications, WEA 2017
País/TerritorioColombia
CiudadCartagena
Período27/09/1729/09/17

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