Recently we launched the Bird Audio Detection Challenge, providing new datasets and a contest to improve the state of the art in general-purpose bird detection in audio. In our previous post we talked about the problem of generalisation, demonstrating that…
Recently we launched the Bird Audio Detection Challenge, providing new datasets and a contest to improve the state of the art in general-purpose bird detection in audio. So what is the state of the art? For a thorough answer, you…
On behalf of the organising committee and the IEEE AASP TC,* we invite you to consider the first Bird Audio Detection Challenge: http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/ Detecting bird sounds in audio is an important basic task in various applications. The current generation of…
To celebrate the new Machine Listening Lab, we’re pleased to announce an afternoon with two invited seminars from distinguished researchers – specialising in speech and in natural sound: 14:00: Prof Yiannis Stylianou (University of Crete, Greece) Adaptive sinusoidal modeling 14:50:…
Funded PhD: “Assessing cattle welfare using their vocalisations” – supervised by Dr Alan McElligott. The application deadline is April 1st. Full details on findaPhD.com
At the ICASSP 2016 conference this week: Emmanouil Benetos and collaborators will lead a Special Session on Acoustic scene and event analysis in multisource environments Francisco J. Rodriguez-Serrano, Sebastian Ewert and co-authors will present their paper “A score-informed shift-invariant extension…
