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Proceeding Paper

Finding Earthquake Victims by Voice Detection Techniques †

Institute for Microsensors, Actuators, and Systems (IMSAS), University of Bremen, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Presented at the 8th International Electronic Conference on Sensors and Applications, 1–15 November 2021; Available online: https://ecsa-8.sciforum.net.
Eng. Proc. 2021, 10(1), 69; https://doi.org/10.3390/ecsa-8-11248
Published: 1 November 2021

Abstract

After an earthquake or a building collapse, victim recovery is a challenging task. Recovery methods must include the location of victims by non-visual means; human speech is one such parameter that can be used in victim and rescue operations. In this paper, we discuss the application of a voice-detection technique for the discrimination of voice and non-voice sounds, based on frequency parameters such as flux, centroid, and roll-off of audio signals. Using the cross-validation tests based on a linear discriminant analysis model, flux and centroid individually displayed the highest success rates for all categories of test sample. By combining these two parameters, the recognition rate was improved to 78% for the signals with high background noise.
Keywords: voice activity detection; rescue method; noise separation voice activity detection; rescue method; noise separation

Share and Cite

MDPI and ACS Style

Jha, R.; Lang, W.; Jedermann, R. Finding Earthquake Victims by Voice Detection Techniques. Eng. Proc. 2021, 10, 69. https://doi.org/10.3390/ecsa-8-11248

AMA Style

Jha R, Lang W, Jedermann R. Finding Earthquake Victims by Voice Detection Techniques. Engineering Proceedings. 2021; 10(1):69. https://doi.org/10.3390/ecsa-8-11248

Chicago/Turabian Style

Jha, Ruchi, Walter Lang, and Reiner Jedermann. 2021. "Finding Earthquake Victims by Voice Detection Techniques" Engineering Proceedings 10, no. 1: 69. https://doi.org/10.3390/ecsa-8-11248

APA Style

Jha, R., Lang, W., & Jedermann, R. (2021). Finding Earthquake Victims by Voice Detection Techniques. Engineering Proceedings, 10(1), 69. https://doi.org/10.3390/ecsa-8-11248

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