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 …
MLLab members contributed two chapters to an upcoming book published by Springer on “Computational Analysis of Sound Scenes and Events“. The book, which is edited by Tuomas Virtanen, Mark D. Plumbley and Dan Ellis, will be published on 20 October …
MLLab contributions to new Springer book in Sound Scene Analysis Read more »
As part of the 2017 AES Conference on Semantic Audio, paper “Automatic transcription of a cappella recordings from multiple singers” by Rodrigo Schramm and Emmanouil Benetos has received the conference’s Best Paper Award. A postprint of the paper can be …
Best paper award at 2017 AES Conference on Semantic Audio Read more »
Two papers authored by members of the Machine Listening Lab have been published at a special issue of IEEE/ACM Transactions on Audio, Speech and Language Processing on “Sound Scene and Event Analysis”: D. Stowell, E. Benetos, and L. F. Gill, …
MLLab research in the IEEE/ACM TASLP special issue on Sound Scene and Event Analysis Read more »
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/ …
“Machine Learning Methods in Bioacoustics” – Call for Abstracts, IBAC 2017 Read more »
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 …