Blog Archives

MLLab contributions to new Springer book in Sound Scene Analysis

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

Posted in Publications

Best paper award at 2017 AES Conference on Semantic Audio

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

Posted in Publications

MLLab research in the IEEE/ACM TASLP special issue on Sound Scene and Event Analysis

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,

Posted in Publications

Singing transcription project started

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

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