Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array

In this work, a multiple sound source localization and counting method is presented, that imposes relaxed sparsity constraints on the source signals. A uniform circular microphone array is used to overcome the ambiguities of linear arrays, however the underlying concepts (sparse component analysis a...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing Vol. 21; no. 10; pp. 2193 - 2206
Main Authors: Pavlidi, Despoina, Griffin, Anthony, Puigt, Matthieu, Mouchtaris, Athanasios
Format: Journal Article
Language:English
Published: Piscataway, NJ IEEE 01.10.2013
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Arrays
Circularity
Computer Science
Counting
Detection, estimation, filtering, equalization, prediction
Direction of arrival estimation
Estimates
Estimation
Exact sciences and technology
Histograms
Information, signal and communications theory
Matching
matching pursuit
Matching pursuit algorithms
microphone array signal processing
Microphones
Miscellaneous
multiple source localization
Position (location)
real-time localization
Real-time systems
Signal and communications theory
Signal and Image Processing
Signal processing
Signal, noise
Sound sources
source counting
sparse component analysis
Telecommunications and information theory
Time-frequency analysis
Performance evaluation
Direction-of-arrival estimation
State of the art
Histogram
Microphone
Array signal processing
multiple source localization
Signal estimation
sparse component analysis
Iterative method
Accuracy
Matching pursuit
Linear antenna arrays
source counting
Antenna array
Direction of arrival estimation
Target detection
Signal detection
Circular antenna
Acoustic signal detection
Sound source
Conceptual analysis
Computational complexity
real-time localization
Simulation
Source localization
microphone array signal processing
Sensor array
Signal to noise ratio
direction of arrival estimation
matching pursuit
ISSN:1558-7916, 1558-7924
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, a multiple sound source localization and counting method is presented, that imposes relaxed sparsity constraints on the source signals. A uniform circular microphone array is used to overcome the ambiguities of linear arrays, however the underlying concepts (sparse component analysis and matching pursuit-based operation on the histogram of estimates) are applicable to any microphone array topology. Our method is based on detecting time-frequency (TF) zones where one source is dominant over the others. Using appropriately selected TF components in these "single-source" zones, the proposed method jointly estimates the number of active sources and their corresponding directions of arrival (DOAs) by applying a matching pursuit-based approach to the histogram of DOA estimates. The method is shown to have excellent performance for DOA estimation and source counting, and to be highly suitable for real-time applications due to its low complexity. Through simulations (in various signal-to-noise ratio conditions and reverberant environments) and real environment experiments, we indicate that our method outperforms other state-of-the-art DOA and source counting methods in terms of accuracy, while being significantly more efficient in terms of computational complexity.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1558-7916
1558-7924
DOI:10.1109/TASL.2013.2272524