The Machine Listening Lab has recently had great success towards publishing journal papers related to the lab’s research priorities on developing new machine learning and signal processing methodologies for audio and timeseries analysis. Our new work ranges from new methods …
New journal papers from the Machine Listening Lab Read more »
On 4-8 May 2020, several MLLab researchers will participate virtually at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). ICASSP is the flagship conference of the IEEE’s Signal Processing Society and is the leading conference in …
In late October, Machine Listening Lab researchers will be participating at a series of back-to-back workshops in the United States focused on audio signal processing and computational scene analysis: the 2019 IEEE Workshop on Applications of Signal Processing to Audio …
The Machine Listening Lab will be participating in this year’s INTERSPEECH conference, taking place on 15-19 September 2019 in Graz, Austria. The following papers will be presented by MLLab members: “Towards joint sound scene and polyphonic sound event recognition” by …
The Machine Listening Lab at Queen Mary University of London (QMUL) would like to invite applicants for PhD positions as part of the newly funded UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM). The AIM programme offers …
PhD Studentships – AIM Centre for Doctoral Training Read more »
Machine Listening Lab researchers will be participating at the 2018 Workshop and Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE). The workshop, which is at its third iteration, is taking place on 19-20 November 2018 in Surrey, …
MLLab participates in DCASE 2018 Workshop and Challenge Read more »
The Machine Listening Lab at Queen Mary University of London (QMUL) would like to invite applicants for PhD positions to be held jointly between the Alan Turing Institute and QMUL. Three PhD students across QMUL will be sponsored by this …
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 »