PRESS/PRENSA

PRESS/PRENSA: Diciembre 2012 Reportaje Revista Que Pasa "Los hombres que oían a las ballenas"

PRESS/PRENSA: Diciembre 2013 Reportaje El Mercurio "El canto de las ballenas azules seduce a una oceanografa inglesa"

PRESS/PRENSA: Diciembre 2013 Reportaje TVN Chile Laboratorio Natural "Tras El Canto de las Ballenas"

Monday, 30 December 2013

Reportaje en TVN / National TV documentary



As part of a TV series Chile, Laboratorio Natural, my work was featured on the 22nd of December. You can check out the video above or at http://www.tvn.cl/player/play/?id=994783&s=9620. Many thanks to all those who were involved: Centro Ballena Azul, Universidad de Concepcion, COPAS Sur-Austral, Centro MERI, CONICYT, Wilfredo Oliver Alarcon, Alex Machuca, and the production company Cabala!

Parte de la serie en TVN llamada Chile, Laboratorio Natural, se mostro mi trabajo de terreno. Pueden ver el video arriba o en http://www.tvn.cl/player/play/?id=994783&s=9620. Gracias a todos los que participaron: Centro Ballena Azul, Universidad de Concepcion, COPAS Sur-Austral, Centro MERI, CONICYT, Wilfredo Oliver Alarcon, Alex Machuca, y la productora Cabala!

Tuesday, 29 October 2013

'Name that tune' algorithm used to identify signature whistles of dolphins

'Name that tune' algorithm used to identify signature whistles of dolphins

This is a very cool bit of research which has solved the long-standing problem of how to classify the very complex whistles of dolphins. Dolphin 'language' is so complex that is it very difficult to analyse using automatic detection software (like the kind I use for analysing blue whales songs). Up until now the only really successful way to analyse these very complex whistles was classifying them manually using the human eye, where researchers had to go through hours and hours of data and identify each whistle type. Some acoustic data sets can be thousands or tens of thousands of hours long, so this method was not very time effective at all.

Now, by applying the same kind of software used to recognise music, available on smart phone apps, researchers have been able to automatically identify and classify the signature whistles of dolphins, i.e. the characteristic whistles produced by each individual dolphin.

This is a very exciting step forward in the technology available to bioacousticians!