A Novel Nested Circular Microphone Array and Subband Processing-Based System for Counting and DOA Estimation of Multiple Simultaneous Speakers

Ali Dehghan Firoozabadi; Hamid Reza Abutalebi

doi:10.1007/s00034-015-0077-6

A Novel Nested Circular Microphone Array and Subband Processing-Based System for Counting and DOA Estimation of Multiple Simultaneous Speakers

Circuits Systems and Signal Processing ◽

10.1007/s00034-015-0077-6 ◽

2015 ◽

Vol 35 (2) ◽

pp. 573-601 ◽

Cited By ~ 4

Author(s):

Ali Dehghan Firoozabadi ◽

Hamid Reza Abutalebi

Keyword(s):

Microphone Array ◽

Doa Estimation ◽

Subband Processing

Download Full-text

A fusion method based on class rotations for DNN-DoA Estimation on Spherical Microphone Array

10.23919/eusipco54536.2021.9616136 ◽

2021 ◽

Author(s):

Israel Mendoza Velazquez ◽

Yi Ren ◽

Yoichi Haneda ◽

Hector Manuel Perez Meana

Keyword(s):

Microphone Array ◽

Doa Estimation ◽

Fusion Method

Download Full-text

Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array

Sensors ◽

10.3390/s19194271 ◽

2019 ◽

Vol 19 (19) ◽

pp. 4271 ◽

Cited By ~ 2

Author(s):

Felipe Gonçalves Serrenho ◽

José Antonio Apolinário ◽

António Luiz Lopes Ramos ◽

Rigel Procópio Fernandes

Keyword(s):

Microphone Array ◽

Doa Estimation ◽

Estimation Methods ◽

Audio Signals ◽

Digital Map ◽

Field Recordings ◽

Technological Advances ◽

Muzzle Blast ◽

New Applications ◽

Rotary Wing

Unmanned aerial vehicles (UAV) are growing in popularity, and recent technological advances are fostering the development of new applications for these devices. This paper discusses the use of aerial drones as a platform for deploying a gunshot surveillance system based on an array of microphones. Notwithstanding the difficulties associated with the inherent additive noise from the rotating propellers, this application brings an important advantage: the possibility of estimating the shooter position solely based on the muzzle blast sound, with the support of a digital map of the terrain. This work focuses on direction-of-arrival (DoA) estimation methods applied to audio signals obtained from a microphone array aboard a flying drone. We investigate preprocessing and different DoA estimation techniques in order to obtain the setup that performs better for the application at hand. We use a combination of simulated and actual gunshot signals recorded using a microphone array mounted on a UAV. One of the key insights resulting from the field recordings is the importance of drone positioning, whereby all gunshots recorded in a region outside a cone open from the gun muzzle presented a hit rate close to 96%. Based on experimental results, we claim that reliable bearing estimates can be achieved using a microphone array mounted on a drone.

Download Full-text