Speech Source Tracking based on Particle Filter under non-Gaussian Noise and Reverberant Environments

Ruifang Wang, Xiaoyu Lan

2019

Abstract

Tracking a moving speech source in non-Gaussian noise environments is a challenging problem. A speech source tracking method based on the particle filter (PF) and the generalized correntropy function (GCTF) in non-Gaussian noise and reverberant environments is proposed in the paper. Multiple TDOAs are estimated by the GCTF and the multiple-hypothesis likelihood is calculated as weights for the PF. Next, predict the particles from the Langevin model for the PF. Finally, the global position of moving speech source is estimated in term of representation of weighted particles. Simulation results demonstrate the vadility of the proposed method.

Paper Citation

in Harvard Style

Wang R. and Lan X. (2019). Speech Source Tracking based on Particle Filter under non-Gaussian Noise and Reverberant Environments.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 461-466. DOI: 10.5220/0008874204610466

in Bibtex Style

@conference{icvmee19,
author={Ruifang Wang and Xiaoyu Lan},
title={Speech Source Tracking based on Particle Filter under non-Gaussian Noise and Reverberant Environments},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={461-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008874204610466},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Speech Source Tracking based on Particle Filter under non-Gaussian Noise and Reverberant Environments
SN - 978-989-758-412-1
AU - Wang R.
AU - Lan X.
PY - 2019
SP - 461
EP - 466
DO - 10.5220/0008874204610466