We’re pleased to announce a new data challenge: “Few-shot Bioacoustic Event Detection“, a new task within the “DCASE 2021” data challenge event. We challenge YOU to create a system to detect the calls of birds, hyenas, meerkats and more. This…
We’re pleased to announce a new data challenge: “Few-shot Bioacoustic Event Detection“, a new task within the “DCASE 2021” data challenge event. We challenge YOU to create a system to detect the calls of birds, hyenas, meerkats and more. This…
We’re pleased to welcome new Lecturer Bhusan Chettri to our group! Bhusan started a full-time role this month as Lecturer in Data Analytics. He says: “I completed my Ph.D. degree from QMUL in August 2020 under the supervision of Dr.…
We’re pleased to announce that Helen Bear (Yogi), who has been working with us since 2018, has been awarded a QMUL Honorary Lectureship for 3 years. Yogi says: “I’m delighted to continue being a part of the team in C4DM.…
We’re pleased to welcome new Lecturer Huy Phan to our group! Huy is a Lecturer in AI, and joined the C4DM in April this year. His interests are a great match to the Machine Listening Lab, and we look forward…
This week we are welcoming Akash Jaiswal, a PhD student from Jawaharlal Nehru University (Delhi, India). Akash has obtained a Newton-Bhabha Fund PhD placement to spend 3 months in the UK working with us on using machine learning to analyse…
The QMUL Machine Listening Lab (MLLab) has had great success in research papers accepted for ICASSP 2019! ICASSP 2019 (the IEEE International Conference on Acoustics, Speech and Signal Processing) is one of the major conferences in the field, and this…
Based on a conversation we had in the Machine Listening Lab last week, here are some blogs and other things you can read when you’re – say – a new PhD student who wants to get started with applying/understanding deep…
2018 has been a fascinating year for the Machine Listening Lab. Here are the headlines! Grant success and projects Emmanouil Benetos is co-investigator (Co-I) for the Science Foundation Ireland funded PhD project “Data-driven quality prediction for digitally restored audio archives”,…
– Special session at IEEE ICASSP 2019 – Organisers: Dan Stowell, Naomi Harte, Theo Damoulas Summary: Wildlife bioacoustics is witnessing a surge in both data volumes and computational methods. Monitoring projects worldwide collect many thousands of hours of audio…
Two of the Machine Listening Lab’s lead academics, Dan Stowell and Emmanouil Benetos, have been awarded Turing Fellowships. The Alan Turing Institute (ATI) is a new UK national institute for data science and artificial intelligence (founded in 2015). Our university…
