Lightweight multi-DOA tracking of mobile speech sources

DOA Estimation of Angle-Perturbed Sources for Wireless Mobile Communications

If the direction of arrival (DOA) of a source is perturbed due to some reasons in a statistical way as in the environment of wireless mobile communications, a new model appropriate for such environment should be used instead of the point source model. In this paper, an angle-perturbed source model is proposed and an estimation method based on the eigendecomposition technique is investigated und...

Efficient Doa Tracking for Tdma-based Sdma Mobile Communications

In this paper, we discuss subspace tracking algorithms for DOA estimation that take a burst-wise data flow as it naturally occurs in systems using a TDMA component into account. This leads to a matrix model rather than to the well known snapshot vector model for the sensor array outputs. Unfortunately, many existing algorithms take advantage of the vector model and do either not support the mat...

A Lightweight Multi-agent Musical Beat Tracking System

Jointly Tracking and Separating Speech Sources Using Multiple Features and the generalized labeled multi-Bernoulli Framework

This paper proposes a novel joint multi-speaker tracking-andseparation method based on the generalized labeled multi-Bernoulli (GLMB) multi-target tracking filter, using sound mixtures recorded by microphones. Standard multi-speaker tracking algorithms usually only track speaker locations, and ambiguity occurs when speakers are spatially close. The proposed multi-feature GLMB tracking filter tr...

DOA estimation for periodically modulated sources

This paper considers the problem of direction-of-arrival estimation for periodically modulated signals using one uniform linear array of sensors. By means of modulating the sources with periodic modulation sequences, we can form a series of linear equations relating the autocorrelation matrices of the received data and the outer products of the scaled steering vectors. Solving these linear equa...