This week we are welcoming Akash Jaiswal, a PhD student from Jawaharlal Nehru University (Delhi, India). Akash has obtained a Newton-Bhabha Fund PhD placement to spend 3 months in the UK working with us on using machine learning to analyse …
The second Bird Audio Detection challenge, now running as Task 3 in the 2018 DCASE Challenge, has been running all month, and the leaderboard is hotting up! There’s less than a week to go. Who will get the strongest results? …
Bird audio detection DCASE challenge – less than a week to go Read more »
Over the recent holiday weekend, in order to spread ideas about bird sounds and ecology, we made groups of kids and grown-ups run around in a field wearing bird heads and searching for food. This was Animal Diplomacy Bureau, a …
Bird Audio Signal Processing Special Session at 25 th EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) 2017 28 August – 2 September, 2017 – Kos Island, Greece http://www.eusipco2017.org/ Theme and scope This session will bring together research on an application domain of …
EUSIPCO Special Session on Bird Audio Signal Processing Read more »
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 …
Bird Audio Detection: tips on building robust detectors Read more »
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 …
Bird Audio Detection: baseline tests – and the problem of generalisation Read more »
On behalf of the organising committee and the IEEE AASP TC,* we invite you to consider the first Bird Audio Detection Challenge: https://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 …