Although extensive research has been done in the field of machine-based localization, the
degrading effect of reverberation and the presence of multiple sources on localization …

Natural human–robot interaction (HRI) in complex and unpredictable environments is
important with many potential applications. While vision-based HRI has been thoroughly …

Reverberation continues to present a major problem for sound source separation
algorithms, due to its corruption of many of the acoustical cues on which these algorithms …

The problem of multimodal clustering arises whenever the data are gathered with several
physically different sensors. Observations from different modalities are not necessarily …

Sound source localisation cues are severely degraded when multiple acoustic sources are
active in the presence of reverberation. We present a binaural system for localising …

In this paper we address the problem of detecting and localizing objects that can be both
seen and heard, eg, people. This may be solved within the framework of data clustering. We …

This paper presents an enhancement of a recently proposed method of joint pitch and
direction of arrival extraction for speaker localization. We propose a new pre-processing …

We introduce a new and intuitive algorithm to characterize and localize multiple harmonic
sources intersecting in the spatial and frequency domains. It jointly estimates their …

This paper addresses the issues of detecting and localizing objects in a scene that are both
seen and heard. We explain the benefits of a human-like configuration of sensors (binaural …

We address the issue of localizing individuals in a scene that contains several people
engaged in a multiple-speaker conversation. We use a human-like configuration of sensors …