ReviewSensors (Basel, Switzerland)2023
A Survey of Sound Source Localization and Detection Methods and Their Applications.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Real-Time Sound Source Localization Based on the Ground-Reflection Compensation Algorithm.Sensors (Basel, Switzerland) · 2026Article
- Two-Step 3D Microphone Array Fusion Algorithm to Enhance Sound Source Location Measurements.Sensors (Basel, Switzerland) · 2026Article
- Modal Superposition-Induced Novel Directional Responses in a Low-Damping Biomimetic Microphone for Sound Source Localization.Sensors (Basel, Switzerland) · 2026Article
- Acoustic Source Localisation of Crack Initiation During Laser-Based DED: Experimental Validation and Challenges.Materials (Basel, Switzerland) · 2026Article
- Comprehensive analysis of security threats and privacy issues in indoor localization systems.Scientific reports · 2025Article
- Outdoor Microphone Range Tests and Spectral Analysis of UAV Acoustic Signatures for Array Development.Sensors (Basel, Switzerland) · 2025Article
- Learning spatial hearing via innate mechanisms.PLoS computational biology · 2025Article
- Robust Audio-Visual Speaker Localization in Noisy Aircraft Cabins for Inflight Medical Assistance.Sensors (Basel, Switzerland) · 2025Article
- Three-Dimensional Sound Source Localization with Microphone Array Combining Spatial Entropy Quantification and Machine Learning Correction.Entropy (Basel, Switzerland) · 2025Article
- Study on Mechanical and Acoustic Emission Characteristics of Backfill-Rock Instability under Different Stress Conditions.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study is a survey of sound source localization and detection methods. The study provides a detailed classification of the methods used in the fields of science mentioned above. It classifies sound source localization systems based on criteria found in the literature. Moreover, an analysis of classic methods based on the propagation model and methods based on machine learning and deep learning techniques has been carried out. Attention has been paid to providing the most detailed information on the possibility of using physical phenomena, mathematical relationships, and artificial intelligence to determine sound source localization. Additionally, the article underscores the significance of these methods within both military and civil contexts. The study culminates with a discussion of forthcoming trends in the realms of acoustic detection and localization. The primary objective of this research is to serve as a valuable resource for selecting the most suitable approach within this domain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.