The preprint of our paper “Acoustic SLAM” in IEEE Trans. Audio, Speech, Lang. Process. is now available at https://ieeexplore.ieee.org/document/8340823/
Our paper on “Optimized Self-Localization for SLAM in Dynamic Scenes using Probability Hypothesis Density Filters” is now available on IEEEXplore: C. Evers and P. A. Naylor, “Optimized Self-Localization for SLAM in Dynamic Scenes using Probability Hypothesis Density Filters,” IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 863-878, Feb. 2018.
Christine Evers will be giving a keynote speech at UK Speech 2017 in Cambridge on “Acoustic Scene Mapping for Robot Audition”.
The slides for Christine Evers’s 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.
Israel Dejene Gebru from the Perception Group at INRIA and his co-authors, Christine Evers, Patrick Naylor, and Radu Horaud, 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 their paper on “Audio-visual Tracking by Density Approximation in a Sequential … [Read more…]
We are delighted to announce that Dr Christine Evers was awarded an EPSRC Fellowship on “Acoustic Signal Processing and Scene Analysis for Socially Assistive Robots”, starting on 1 January 2017. Christine’s research will focus on acoustic Simultaneous Localization and Mapping (aSLAM), source tracking, and blind speech enhancement, aiming to provide robots and autonomous systems with a situational … [Read more…]
Stay tuned for the following papers to be presented at ICASSP 2017 in March. Merry Christmas and happy holidays!
We are delighted that the following papers have been accepted for ICASSP 2016 in Shanghai, China in March 2016. Looking forward to seeing you in Shanghai!