DOA estimation of multiple speech sources based on the single-source point detection using an FOA microphone

L Li, M Jia, J Wang - Applied Acoustics, 2022 - Elsevier
This paper presents a method for direction of arrival (DOA) estimation of multiple speech
sources based on the temporal correlation and local-frequency stationarity of speech …

Fusion of heterogenous sensor data in border surveillance

L Patino, M Hubner, R King, M Litzenberger, L Roupioz… - Sensors, 2022 - mdpi.com
Wide area surveillance has become of critical importance, particularly for border control
between countries where vast forested land border areas are to be monitored. In this paper …

Research on audio recognition based on the deep neural network in music teaching

Y Cui, F Wang - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Solfeggio is an important basic course for music majors, and audio recognition training is
one of the important links. With the improvement of computer performance, audio recognition …

Low-complexity frequency-invariant beampattern synthesis using accurate response control for speech extraction

J Xu, J Li, W Meng, X Li, C Zheng - Applied Acoustics, 2024 - Elsevier
Beampattern synthesis generally designs weight parameters to form a main beam towards
the direction of interest while suppressing interference and environmental noise …

First-Order Relative Harmonic Coefficient-Based Time-Frequency Points Selection for Multi-Source DOA Estimation

L Tao, M Jia, C Bao, W Xiong - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
As a research focus within the field of array signal processing, multi-source direction-of-
arrival (DOA) estimation in enclosed environments has been paid much attention …

Doa estimation for multiple speech sources based on flexible single-source zones and concentration weighting

Z Zhao, H Kan, J Lin, Z Xu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Direction-of-arrival (DOA) estimation is the key to many audio applications. Recently, sparse
component analysis (SCA)-based methods have attracted much attention, in which single …

Joint DOA Estimation and Dereverberation Based on Multi-channel Linear Prediction Filtering and Azimuth Sparsity

W Xiong, C Bao, J Zhou, M Jia… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
Source localization in reverberant environments has been a prominent research topic in the
past two decades. In this paper, instead of the commonly employed time-frequency (TF) bin …

Multi-Source Localization Using Optimized Time-Frequency Representation and Sparsity Component Analysis

S Gao, M Jia, D Yao, J Wang - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
This article aims to address the multi-source localization problem by exploiting the sparsity
of the speech signal in the time-frequency domain, where the challenge mainly lies in …

Multiple-Speech-Source DOA Estimation Based on Single-Source Cluster Detection

L Li, M Jia, J Wang, R Cao - IEEE/ACM Transactions on Audio …, 2023 - ieeexplore.ieee.org
This study proposes multiple-speech-source direction-of-arrival (DOA) estimation based on
the distribution characteristic of the time-frequency (TF) point dominated by a single-source …

A time-frequency bins selection pipeline for direction-of-arrival estimation using a single acoustic vector sensor

J Geng, S Wang, S Gao, Q Liu, X Lou - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The case that multiple speakers are simultaneously active is usually regarded as adverse
condition in the context of multi-source direction-of-arrival (DOA) estimation. Moreover, in …