Blog Archives

“Machine Learning Methods in Bioacoustics” – Call for Abstracts, IBAC 2017

We are pleased to announce a symposium on “Machine Learning Methods in Bioacoustics”, to be held as part of the 2017 International Bioacoustics Congress (Haridwar, India, 8-13 October 2017). To submit an abstract, see: http://www.ibac2017india.com/abstracts/ – Please ALSO send an

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Bird Audio Detection: tips on building robust detectors

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, demonstrating that

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Bird Audio Detection: baseline tests – and the problem of generalisation

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

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Announcing the Bird Audio Detection Challenge

On behalf of the organising committee and the IEEE AASP TC,* we invite you to consider the first Bird Audio Detection Challenge: http://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

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Three Awards at ISMIR 2016!

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

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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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HORSE 2016!

Research workshop, QMUL, London Monday 19 September 2016 Location TBD Have you uncovered a “horse” in your domain? Or perhaps discovered a “Potemkin village”? Call for presentations here.

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Project DaCaRyH has begun!

Read all about it: Data science for the study of Calypso-rhythm through history (DaCaRyH)

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