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...
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:
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:
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. Joint Workshop on Hands-Free Speech Communications and Microphone Arrays (HSCMA)
Authors:
Israel D. Gebru, Christine Evers, Patrick A. Naylor, Radu Horaud
Abstract:
This paper proposes a novel audio-visual tracking approach that exploits constructively audio and visual modalities in order to estimate trajectories of multiple people in a joint state space. The...
