Voice activity detection for audio signal of voyage data recorder using residue network and attention mechanism-Reference-Cited by-同舟云学术

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Voice activity detection for audio signal of voyage data recorder using residue network and attention mechanism

Published:2022-12-29 Issue: Volume: Page:1-9
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Zhang Weiwei¹,Liu Xin¹,Du Han¹,Zhang Qiaoling²,Yang Jiaxuan³

Affiliation:

1. Information Science and Technology College, Dalian Maritime University, Dalian, People's Republic of China

2. School of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, People's Republic of China

3. Navigation College, Dalian Maritime University, Dalian, People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

Key Projects of National Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2022.2159288

Reference37 articles.

1. Machine learning and data-driven fault detection for ship systems operations

2. Chen H, Tian D, Yang Z, Wu Z, Zhao K, Li D, Ma X. 2016. An improved position errors test method of image recorded by voyage data recorder. In: International Conference on Modelling, Identification and Control. Algiers (Algeria): IEEE. p. 80–84.

3. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences

4. Geng QS, Wang FH, Zhou DX. 2019. Mechanical fault diagnosis of power transformer by GFCC time-frequency map of acoustic signal and convolutional neural network. In: IEEE Sustainable Power and Energy Conference. Beijing (China): IEEE. p. 2106–2110.

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1. A technique for noise robust voice activity detection under uncontrolled environment;Multimedia Tools and Applications;2024-08-01

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