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 »
A new collaborative project that will address the problem of automatic transcription of multiple singers has been launched by Queen Mary University of London and Federal University of Rio Grande do Sul (UFRGS – Brazil). The £24k project, entitled “Automatic …