Close

We use cookies to improve your experience of our website. Privacy Policy

Skip to main content

Institute of Applied Data Science

Search
Menu

Dr Dan Stowell

Dan Stowell

Lecturer & Turing Fellow

Department School of Electronic Engineering and Computer Science
 Eng 109
 +44 20 7882 3066

c4dm.eecs.qmul.ac.uk/people/dans.html

Research

Structured machine listening for soundscapes with multiple birds, Automatic acoustic detection of birds, machine listening, point process models

Interests

I'm a senior researcher in machine listening - which means using computation to understand sound signals. Currently my research is all about bird sounds, but I have also worked on voice, music and environmental soundscapes.

I am an EPSRC research fellow based at Queen Mary University of London, giving me five years to research "structured machine listening for soundscapes with multiple birds". I am developing automatic processes to analyse large amounts of sound recordings - detecting the bird sounds in there and how they vary, how they relate to each other, how the birds' behaviour relates to the sounds they make.

I use various machine learning methods, including Bayesian graphical modelspoint process modelsflow networksrandom forests, feature learning, PHD filters ... sure, yes, and deep learning too.

Grants

Grants of specific relevance to Applied Data Science
Enabling worldwide solar PV nowcasting via machine vision and open data
Stowell D
£50,000 The Alan Turing Institute (01-11-2019 - 31-03-2020)
Structured machine listening for soundscapes with multiple birds
Stowell DF
£506,360 Engineering and Physical Sciences Research Council (30-04-2014 - 29-04-2019)
Summary


Machine Learning for Bird Song Learning
Lachlan RF, Stowell DF and Clayton DF
£535,796 Biotechnology and Biological Sciences Research Council (03-06-2018 - 31-03-2019)
Summary