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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...

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“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...

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“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...

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HSCMA 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...

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“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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“Source tracking using moving microphone arrays for robot audition”

IEEE Xplore Access: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) Authors: C. Evers, Y. Dorfan, S. Gannot, and P. A. Naylor Abstract: Intuitive spoken dialogues are a prerequisite for human-robot interaction. In many practical situations, robots must be able to identify and focus on sources of interest in the presence of...

IEEE Xplore Access: Proc. IEE...

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