
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…
On 29th March 2018 we held a Machine Listening Lab symposium to gather together people across the university who are doing work in machine listening. Katerina Kosta (Jukedeck) The programme of talks included: Emmanouil Benetos (QMUL): Machine listening for music…
C4DM researchers have had a lot of success this year in being accepted for ICASSP 2018, the IEEE’s International Conference on Acoustics, Speech and Signal Processing. Most of these papers are led by C4DM PhD students, on MIR and Machine…
2017 has been a fascinating year for the Machine Listening Lab. Here are the headlines! Grant success and projects: Rob Lachlan, along with David Clayton and Dan Stowell, were awarded a BBSRC grant for a £659,000 project to study “Machine…
As part of the C4DM seminar series, the Machine Listening Lab and the Centre for Intelligent Sensing jointly present Mauricio Álvarez giving a talk about Sequential latent force models for segmenting motor primitives. Date and Time: Wednesday, 24th May 2017,…
DEADLINE EXTENDED: 30th May 2017 We are pleased to announce a symposium on “Machine Learning Methods in Bioacoustics”, to be held as part of the 2017 International Bioacoustics Congress (Haridwar, India, 8-13 October 2017). To submit an abstract, see: http://www.ibac2017india.com/abstracts/…
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…
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…