Best Paper Award at IJCAI 201315th July 2013
Our paper titled "A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring" received the award for Outstanding Student Paper at the International Joint Conference for Artificial Intelligence (IJCAI), 2013. The conference was held in Beijing, China, and the paper was presented by Davide Zilli.
Davide Zilli receiving the award
Abstract: Automated acoustic recognition of species aims to provide a cost-effective method for biodiversity monitoring. This is particularly appealing for detecting endangered animals with a distinctive call, such as the New Forest cicada. To this end, we pursue a crowdsourcing approach, whereby the millions of visitors to the New Forest will help to monitor the presence of this cicada by means of a smartphone app that can detect its mating call. However, current systems for acoustic insect classification are aimed at batch processing and not suited to a real-time approach as required by this system, because they are too computationally expensive and not robust to environmental noise. To address this short-coming we propose a novel insect detection algorithm based on a hidden Markov model to which we feed as a single feature vector the ratio of two key frequencies extracted through the Goertzel algorithm. Our results show that this novel approach, compared to the state of the art for batch insect classification, is much more robust to noise while also reducing the computational cost.
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Promoted to Associate Professor3rd March 2014
I have been promoted to Associate Professor, effective immediately!
This recognises my contribution to education and research at the University, and reflects the international recognition of my work.
(in actual fact, I've been promoted to Senior Lecturer until later in 2014, when the University is renaming the role to Associate Professor)
Alex Presents Research at SenseCam 20123rd April 2012
Alex Wood presented our research on 'DejaView' at the recent 2012 SenseCam Symposium. DejaView is a system designed to help sufferers of memory loss, in particular by allowing them to receive relevant real-time feedback. In the current demonstrator, this feedback gives the wearer information on who they are looking at - for example their name, relationship, when they last saw them etc. Alex was also awarded a bursary by the conference organisers to attend the symposium, and chaired one of the se... [more]