We propose a time difference of arrival (TDOA) estimation framework based on time-
frequency inter-channel phase difference (IPD) to count and localize multiple acoustic …

Autonomous human–robot interaction ultimately requires an artificial audition module that
allows the robot to process and interpret a combination of verbal and non-verbal auditory …

In this contribution, we propose a new localization approach for multiple simultaneously
active sound sources using acoustic sensor networks. It is based on the averaged directivity …

This paper presents a novel filtering approach for tracking multiple concurrent speakers with
a microphone array. In this framework, a Kalman filter bank that evolves in time according to …

Multiple speaker localization algorithms generally require a binary detector, which performs
the source/noise classification of the location estimates. This is mainly due to the unknown …

In this paper, we propose an expectation-maximization algorithm to perform online tracking
of moving sources around multi-microphone devices. We are particularly targeting the …

A novel approach is presented for acoustic localization based on Time Delay Estimation
(TDE). The proposed method relies on the observation that the spectrum of many real-world …

This thesis considers the domain of acoustic source localisation and tracking in an indoor
environment. Acoustic tracking has applications in security, human-computer interaction …

Traditionally, multiple speaker tracking consists of two stages, namely, 1) detection of
location measurements, followed by 2) a multiple object tracking approach. In general, these …

Overlap** speaker localization approaches generally require a binary detector which
performs the source/noise classification of the location estimates. This is mainly due to the …