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 …
Researchers at the Machine Listening Lab at QMUL won three of five awards at the 2016 International Symposium on Music Information Retrieval! “Best Student Paper” was awarded to Maria Panteli, Emmanouil Benetos and Simon Dixon: Learning a Feature Space for …
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 …