Fast sound source localization based on SRP-PHAT using density peaks clustering

18Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Sound source localization has been increasingly used recently. Among the existing techniques of sound source localization, the steered response power–phase transform (SRP-PHAT) exhibits considerable advantages regarding anti-noise and anti-reverberation. When applied in real-time situations, however, the heavy computational load makes it impossible to localize the sound source in a reasonable time since SRP-PHAT employs a grid search scheme. To solve the problem, an improved procedure called ODB-SRP-PHAT, i.e., steered response power and phase transformation with an offline database (ODB), was proposed by the authors. The basic idea of ODB-SRP-PHAT is to determine the possible sound source positions using SRP-PHAT and density peak clustering before real-time localization and store the identified positions in an ODB. Then, at the online positioning stage, only the power values of the positions in the ODB will be calculated. When used in real-time monitoring, e.g., locating the speaker in a video conference, the computational load of ODB-SRP-PHAT is significantly smaller than that of SRP-PHAT. Simulations and experiments under a real environment verified the high localization accuracy with a small computational load of ODB-SRP-PHAT. In addition, the advantages of anti-noise and anti-reverberation remained. The suggested procedure displayed good applicability in a real environment.

References Powered by Scopus

MULTIPLE EMITTER LOCATION AND SIGNAL PARAMETER ESTIMATION.

11692Citations
N/AReaders
Get full text

Data clustering: 50 years beyond K-means

7282Citations
N/AReaders
Get full text

Clustering by fast search and find of density peaks

4455Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A Survey of Sound Source Localization and Detection Methods and Their Applications

17Citations
N/AReaders
Get full text

Advances on intelligent algorithms for scientific computing: an overview

16Citations
N/AReaders
Get full text

Object localization and tracking system using multiple ultrasonic sensors with newton–raphson optimization and kalman filtering techniques

11Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhuo, D. B., & Cao, H. (2021). Fast sound source localization based on SRP-PHAT using density peaks clustering. Applied Sciences (Switzerland), 11(1), 1–15. https://doi.org/10.3390/app11010445

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Lecturer / Post doc 1

14%

Researcher 1

14%

Readers' Discipline

Tooltip

Engineering 8

100%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free