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The Tacotron-Based Signal Synthesis Method for Active Sonar

The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to detect, track, and identify underwater targets using a...

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Detalles Bibliográficos
Autores principales: Kim, Yunsu, Kim, Juho, Hong, Jungpyo, Seok, Jongwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824294/
https://www.ncbi.nlm.nih.gov/pubmed/36616625
http://dx.doi.org/10.3390/s23010028
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author Kim, Yunsu
Kim, Juho
Hong, Jungpyo
Seok, Jongwon
author_facet Kim, Yunsu
Kim, Juho
Hong, Jungpyo
Seok, Jongwon
author_sort Kim, Yunsu
collection PubMed
description The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to detect, track, and identify underwater targets using active sonar. To solve this problem, machine learning and deep learning techniques that have recently been in the spotlight are being applied, but these techniques require a large amount of data. In order to supplement insufficient active sonar data, methods based on mathematical modeling are primarily utilized. However, mathematical modeling-based methods have limitations in accurately simulating complicated underwater phenomena. Therefore, an artificial intelligence-based sonar signal synthesis technique is proposed in this paper. The proposed method modified the major modules of the Tacotron model, which is widely used in the field of speech synthesis, in order to apply the Tacotron model to the field of sonar signal synthesis. To prove the validity of the proposed method, spectrograms of synthesized sonar signals are analyzed and the mean opinion score was measured. Through the evaluation, we confirmed that the proposed method can synthesize active sonar data similar to the trained one.
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spelling pubmed-98242942023-01-08 The Tacotron-Based Signal Synthesis Method for Active Sonar Kim, Yunsu Kim, Juho Hong, Jungpyo Seok, Jongwon Sensors (Basel) Article The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to detect, track, and identify underwater targets using active sonar. To solve this problem, machine learning and deep learning techniques that have recently been in the spotlight are being applied, but these techniques require a large amount of data. In order to supplement insufficient active sonar data, methods based on mathematical modeling are primarily utilized. However, mathematical modeling-based methods have limitations in accurately simulating complicated underwater phenomena. Therefore, an artificial intelligence-based sonar signal synthesis technique is proposed in this paper. The proposed method modified the major modules of the Tacotron model, which is widely used in the field of speech synthesis, in order to apply the Tacotron model to the field of sonar signal synthesis. To prove the validity of the proposed method, spectrograms of synthesized sonar signals are analyzed and the mean opinion score was measured. Through the evaluation, we confirmed that the proposed method can synthesize active sonar data similar to the trained one. MDPI 2022-12-20 /pmc/articles/PMC9824294/ /pubmed/36616625 http://dx.doi.org/10.3390/s23010028 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Yunsu
Kim, Juho
Hong, Jungpyo
Seok, Jongwon
The Tacotron-Based Signal Synthesis Method for Active Sonar
title The Tacotron-Based Signal Synthesis Method for Active Sonar
title_full The Tacotron-Based Signal Synthesis Method for Active Sonar
title_fullStr The Tacotron-Based Signal Synthesis Method for Active Sonar
title_full_unstemmed The Tacotron-Based Signal Synthesis Method for Active Sonar
title_short The Tacotron-Based Signal Synthesis Method for Active Sonar
title_sort tacotron-based signal synthesis method for active sonar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824294/
https://www.ncbi.nlm.nih.gov/pubmed/36616625
http://dx.doi.org/10.3390/s23010028
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