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Machine Listening Lab | Queen Mary University of London

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Machine Listening Lab | Queen Mary University of London | machine-listening.eecs.qmul.ac.uk Reviews
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Machine Listening Lab | Queen Mary University of London | machine-listening.eecs.qmul.ac.uk Reviews

https://machine-listening.eecs.qmul.ac.uk

Queen Mary University of London

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Publications | Machine Listening Lab

http://machine-listening.eecs.qmul.ac.uk/publications

Darr; Skip to Main Content. Queen Mary University of London. Selected key publications from our lab:. S Sigtia, E. Benetos, S. Dixon. An End-to-End Neural Network for Polyphonic Piano Music Transcription. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 24(5): 927-939, 2016. DOI: 10.1109/TASLP.2016.2533858. D Stowell, D. Giannoulis, E. Benetos, M. Lagrange and M. D. Plumbley, Detection and Classification of Audio Scenes and Events. IEEE Transactions on Multimedia. 17(10): 1733-1746, 2015.

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Singing transcription project started | Machine Listening Lab

http://machine-listening.eecs.qmul.ac.uk/2016/08/singing-transcription-project-started

Darr; Skip to Main Content. Queen Mary University of London. Singing transcription project started. August 18, 2016. 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 transcription of polyphonic music recordings. 8220;, is funded by the Royal Academy of Engineering. And will last 12 months. We use co...

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Bird Audio Detection: baseline tests – and the problem of generalisation | Machine Listening Lab

http://machine-listening.eecs.qmul.ac.uk/2016/10/bird-audio-detection-baseline-generalisation

Darr; Skip to Main Content. Queen Mary University of London. Bird Audio Detection: baseline tests – and the problem of generalisation. October 28, 2016. 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 can read our survey paper. An important thing we want to encourage through this challenge is generalisation. The second is a v...

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Summer Launch Event – Tue 28th June | Machine Listening Lab

http://machine-listening.eecs.qmul.ac.uk/2016/06/summer-launch-event-tue-28th-june

Darr; Skip to Main Content. Queen Mary University of London. Summer Launch Event – Tue 28th June. June 8, 2016. To celebrate the new Machine Listening Lab. We’re pleased to announce an afternoon with two invited seminars from distinguished researchers – specialising in speech and in natural sound:. 14:00: Prof Yiannis Stylianou. University of Crete, Greece). 14:50: Dr Mike Wood. University of Salford, Greater Manchester). Listening to alienated life: Acoustic ecology in Chernobyl. 8249; HORSE 2016!

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Bird Audio Detection: tips on building robust detectors | Machine Listening Lab

http://machine-listening.eecs.qmul.ac.uk/2016/11/bird-audio-detection-tips-on-building-robust-detectors

Darr; Skip to Main Content. Queen Mary University of London. Bird Audio Detection: tips on building robust detectors. November 17, 2016. 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. Background noise in these outdoor datasets varies quite a lot. In general it’s a good idea to remove it… but how? Normalising the ampl...

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Oh, to be torn 'twixt love an' tenure. Newer posts →. Upcoming Events MEET THE COMPUTER COMPOSERS FEAT. MARK D’INVERNO QUINTET Vortex Jazz Club. September 26, 2016. By Bob L. Sturm. Only a few tickets left to this unique event! Source: Upcoming Events MEET THE COMPUTER COMPOSERS FEAT. MARK D’INVERNO QUINTET Vortex Jazz Club. September 25, 2016. By Bob L. Sturm. September 19, 2016 saw the successful premier edition of HORSE2016: On Horses and Potemkin Villages in Applied Machine Learning. I present an exa...

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Machine Listening Lab | Queen Mary University of London

Darr; Skip to Main Content. Queen Mary University of London. In the Machine Listening Lab we develop methods for making sense of natural sounds, everyday sounds, and recorded music. "Machine listening" is the use of signal processing and machine learning to extract useful information from sound. The Machine Listening Lab is jointly led by Dan Stowell. Associated members come not just from the School of EECS but also from the biological and mathematical schools in QMUL. Our members. MLLab at ICASSP 2016.

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