Sound Source Localization and Classification for Emergency Vehicle Siren Detection Using Resource Constrained Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00375301" target="_blank" >RIV/68407700:21230/24:00375301 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/RADIOELEKTRONIKA61599.2024.10524053" target="_blank" >https://doi.org/10.1109/RADIOELEKTRONIKA61599.2024.10524053</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA61599.2024.10524053" target="_blank" >10.1109/RADIOELEKTRONIKA61599.2024.10524053</a>
Alternative languages
Result language
angličtina
Original language name
Sound Source Localization and Classification for Emergency Vehicle Siren Detection Using Resource Constrained Systems
Original language description
The present work introduces an intelligent system for sound source localization and classification, focusing on the critical task of detecting emergency vehicle sirens. Leveraging the STM32F411RE microcontroller and SPH0645LM4H microphones, the methodology combines generalized crosscorrelation with phase transformation for precise sound source localization, alongside Mel Frequency Cepstral Coefficients (MFCC) for robust signal processing. A neural network model, expertly trained and deployed on the microcontroller, enables real-time sound classification. The integrated printed circuit board (PCB) with eight LEDs provides visual cues, enhancing emergency vehicle detection. This work contributes significantly to sound localization, digital signal processing, and embedded systems, ultimately improving safety and responsiveness in emergency scenarios. The work is vital for enhancing road safety and emergency response efficiency by providing an intelligent system that accurately identifies and localizes the sound of emergency vehicle sirens, minimizing response times and potential hazards for all road users.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA)
ISBN
979-8-3503-6216-9
ISSN
2767-9969
e-ISSN
2767-9969
Number of pages
5
Pages from-to
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Publisher name
IEEE Czechoslovakia Section
Place of publication
Praha
Event location
Žilina
Event date
Apr 17, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001229165000002