Dr Yusuke Hioka joins us from University of Auckland, to work on direction of arrival estimation for binaural hearing aids.
Wishing you the best in this next phase of your career. Congratulations, and best of luck!
Our overview paper describing the LOCATA database and challenge is accepted for publication and will be presented at SAM 2018 in Sheffield, UK.
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 looking forward to presenting the following papers and keynote at HSCMA in San Francisco 1-3 March 2017. Stay tuned for the following papers to be presented at ICASSP 2017 in March. Merry Christmas and happy holidays! Costas Yiallourides, Victoria Manning-Eid, Alastair H. Moore, Patrick A. Naylor: A Dynamic Programming Approach for Automatic … [Read more…]