IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA)
On behalf of the organising committee, I am pleased to announce the release of the development dataset for the IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA). The aim of this challenge is to provide researchers in the field of acoustic source localization and tracking the opportunity to benchmark their...
On behalf of the organising co...
Read More“Optimized Self-Localization for SLAM in Dynamic Scenes using Probability Hypothesis Density Filters”
Open Access: IEEE Transactions on Signal Processing Authors: Christine Evers and Patrick A. Naylor Abstract: In many applications, sensors that map the positions of objects in unknown environments are installed on dynamic platforms. As measurements are relative to the observer's sensors, scene mapping requires accurate knowledge of the observer state. However, in practice, observer reports...
Open Access: IEEE Transaction...
Read MoreCfP: Intl. Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, Sep 17-20, 2018
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Read More“Sparse parametric modeling of the early part of acoustic impulse responses”
IEEE Xplore Access: Proc. European Signal Processing Conference (EUSIPCO) Authors: Constantinos Papayannis, Christine Evers and Patrick A. Naylor Abstract: Acoustic channels are typically described by their Acoustic Impulse Response (AIR) as a Moving Average (MA) process. Such AIRs are often considered in terms of their early and late parts, describing discrete reflections and the diffuse...
IEEE Xplore Access: Proc. Eur...
Read MoreKeynote Speech at UK Speech 2017
I am delighted to be giving a keynote speech at UK Speech 2017 in Cambridge on "Acoustic Scene Mapping for Robot Audition"....
I am delighted to be giving a ...
Read MoreHSCMA Keynote slides online
The slides for my keynote speech on "Bayesian Learning for Robot Audition" at HSCMA 2017 are now online on the website of the IEEE Audio and Acoustic Signal Processing Technical Committee....
The slides for my keynote spee...
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Best Paper Award
We received the best paper award at the IEEE Fifth Joint Workshop on Hands-free Speech Communication and Microphone Arrays, San Francisco, USA, 1-3 March 2017, for our paper on "Audio-visual Tracking by Density Approximation in a Sequential Bayesian Filtering Framework"....
We received the best paper awa...
Read More“Discriminative feature domains for reverberant acoustic environments”
IEEE Xplore Access: in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) Authors: C. Papayiannis, C. Evers, and P. A. Naylor Abstract: Several speech processing and audio data-mining applications rely on a description of the acoustic environment as a feature vector for classification. The discriminative properties of the feature domain play a...
IEEE Xplore Access: in Proc. ...
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