The Steered Response Power-Phase Transform (SRP-PHAT) algorithm has been shown to
be one of the most robust sound source localization approaches operating in noisy and …

In this paper, we present and compare novel algorithms to localize simultaneous speakers
using four microphones distributed on a pair of binaural hearing aids. The framework …

Supervised learning methods are a powerful tool for direction of arrival (DOA) estimation
because they can cope with adverse conditions where simplified models fail. In this work, we …

The problem of localizing and tracking a known number of concurrent speakers in noisy and
reverberant enclosures is addressed in this paper. We formulate the localization task as a …

In many room acoustics and noise control applications, it is often challenging to determine
the directions of arrival (DoAs) of incoming sound sources. This work seeks to solve this …

This work applies two levels of inference within a Bayesian framework to accomplish
estimation of the directions of arrivals (DoAs) of sound sources. The sensing modality is a …

In this paper we present a novel algorithm to localize and separate simultaneous speakers
using hearing aids when the head is subject to rotational movement. Most of the algorithms …

A method for multiple speaker localization using a two-microphone array is presented.
Based on the disjointness property of speech signals in the time-frequency (TF) domain, the …

Even without a separate tracking algorithm, the directions of arrival (DOAs) of moving talkers
can be estimated with a deep neural network (DNN) when the movement trajectories used …

Sound source localization using a two-microphone array is an active area of research, with
considerable potential for use with video conferencing, mobile devices, and robotics. Based …