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End-to-End Gas Leakage Acoustic Signal Noise Reduction Based on Improved Sandglasset Model | IEEE Journals & Magazine | IEEE Xplore

End-to-End Gas Leakage Acoustic Signal Noise Reduction Based on Improved Sandglasset Model


Using the TCN and CA modules to improve the modeling ability of long audio signals. Initially, mixed-band noise frequency are encoded, then divided into inter-segment and...

Abstract:

For addressing background noise interference during gas leakage detection, an end-to-end gas leakage acoustic signal noise reduction method based on the improved Sandglas...Show More

Abstract:

For addressing background noise interference during gas leakage detection, an end-to-end gas leakage acoustic signal noise reduction method based on the improved Sandglasset model is proposed. This model, tailored for enhanced modeling and sound source separation, incorporates the Temporal Convolutional Network (TCN) module and Coordinate Attention (CA) module, replacing Bi-directional Long Short-Term Memory (Bi-LSTM) and Multi-headed Attention (MA). TCN excels in capturing local information and boosting time series data modeling, while the CA module specializes in inter-segment sequences modeling and feature extraction from various time sequences, yielding superior global modeling capability. The process involves encoding the collected gas leakage acoustic signal with a one-dimensional convolutional encoder to generate the feature sequence, which is then process by the improved Sandglasset model and subsequently decoded to reconstruct the noise-reduced signal. The experimental results demonstrate that the method effectively isolates the background noise signal. Post-noise reduction, the SI-SNR and SDR reach 5.93dB and 8.17dB, respectively, thereby minimizing interference with further signal analysis and identification.
Using the TCN and CA modules to improve the modeling ability of long audio signals. Initially, mixed-band noise frequency are encoded, then divided into inter-segment and...
Published in: IEEE Access ( Volume: 12)
Page(s): 111334 - 111342
Date of Publication: 12 August 2024
Electronic ISSN: 2169-3536

Funding Agency:

Author image of Yongsheng Yu
State Key Laboratory of Silicate Materials for Architecture, Wuhan University of Technology, Wuhan, China
Yongsheng Yu was born in Hongan, Hubei, China, in 1978. He received the B.S. degree in computer application from Wuhan University of Hydraulic and Electric Engineering, in 2001, and the M.S. degree in software engineering and the Ph.D. degree in computer architecture from Huazhong University of Science and Technology (HUST), China, in 2005 and 2010, respectively.
From 2010 to 2015, he was a Research Assistant with Wuhan Un...Show More
Yongsheng Yu was born in Hongan, Hubei, China, in 1978. He received the B.S. degree in computer application from Wuhan University of Hydraulic and Electric Engineering, in 2001, and the M.S. degree in software engineering and the Ph.D. degree in computer architecture from Huazhong University of Science and Technology (HUST), China, in 2005 and 2010, respectively.
From 2010 to 2015, he was a Research Assistant with Wuhan Un...View more
Author image of Peng Song
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Peng Song was born in Xingtai, Hebei, China, in 1998. He received the bachelor’s degree in engineering from the Agricultural University of Hebei, in 2020, and the master’s degree in engineering from Wuhan University of Technology, in 2023.
From 2020 to 2023, he is mainly engaged in research related to acoustic signal processing, artificial intelligence, industrial fault diagnosis and other fields, and he holds a dissertati...Show More
Peng Song was born in Xingtai, Hebei, China, in 1998. He received the bachelor’s degree in engineering from the Agricultural University of Hebei, in 2020, and the master’s degree in engineering from Wuhan University of Technology, in 2023.
From 2020 to 2023, he is mainly engaged in research related to acoustic signal processing, artificial intelligence, industrial fault diagnosis and other fields, and he holds a dissertati...View more
Author image of Yongying Shen
School of Marxism, Guangdong University of Foreign Studies, Guangzhou, China
Yongying Shen was born in Shaoguan, Guangdong, China, in 1978. She received the B.S. degree in Chinese language and literature from Zhanjiang Normal University, and the M.S. degree in Chinese language and literature from Sun Yat-sen University, in 2004, and the Ph.D. degree from Guangdong University of Foreign Studies, in 2019.
From 2004 to 2009, she was a Teaching Assistant with the School of Oriental Language and Culture...Show More
Yongying Shen was born in Shaoguan, Guangdong, China, in 1978. She received the B.S. degree in Chinese language and literature from Zhanjiang Normal University, and the M.S. degree in Chinese language and literature from Sun Yat-sen University, in 2004, and the Ph.D. degree from Guangdong University of Foreign Studies, in 2019.
From 2004 to 2009, she was a Teaching Assistant with the School of Oriental Language and Culture...View more
Author image of Yingming Wang
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Yingming Wang was born in January 1998. He received the B.S. degree from Tianjin University of Technology, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.
Yingming Wang was born in January 1998. He received the B.S. degree from Tianjin University of Technology, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.View more
Author image of Zhuoran Cai
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Zhuoran Cai was born in March 2000. He received the B.S. degree from Tianjin Chengjian University, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.
Zhuoran Cai was born in March 2000. He received the B.S. degree from Tianjin Chengjian University, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.View more

Author image of Yongsheng Yu
State Key Laboratory of Silicate Materials for Architecture, Wuhan University of Technology, Wuhan, China
Yongsheng Yu was born in Hongan, Hubei, China, in 1978. He received the B.S. degree in computer application from Wuhan University of Hydraulic and Electric Engineering, in 2001, and the M.S. degree in software engineering and the Ph.D. degree in computer architecture from Huazhong University of Science and Technology (HUST), China, in 2005 and 2010, respectively.
From 2010 to 2015, he was a Research Assistant with Wuhan University of Technology (WUT). Since 2015, he has been an Assistant Professor with the State Key Laboratory of Silicate Materials for Architecture, WUT. He is the author of more than 30 articles. His research interests include artificial intelligence, data analysis, and acoustic signal processing.
Yongsheng Yu was born in Hongan, Hubei, China, in 1978. He received the B.S. degree in computer application from Wuhan University of Hydraulic and Electric Engineering, in 2001, and the M.S. degree in software engineering and the Ph.D. degree in computer architecture from Huazhong University of Science and Technology (HUST), China, in 2005 and 2010, respectively.
From 2010 to 2015, he was a Research Assistant with Wuhan University of Technology (WUT). Since 2015, he has been an Assistant Professor with the State Key Laboratory of Silicate Materials for Architecture, WUT. He is the author of more than 30 articles. His research interests include artificial intelligence, data analysis, and acoustic signal processing.View more
Author image of Peng Song
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Peng Song was born in Xingtai, Hebei, China, in 1998. He received the bachelor’s degree in engineering from the Agricultural University of Hebei, in 2020, and the master’s degree in engineering from Wuhan University of Technology, in 2023.
From 2020 to 2023, he is mainly engaged in research related to acoustic signal processing, artificial intelligence, industrial fault diagnosis and other fields, and he holds a dissertation and two patents.
Peng Song was born in Xingtai, Hebei, China, in 1998. He received the bachelor’s degree in engineering from the Agricultural University of Hebei, in 2020, and the master’s degree in engineering from Wuhan University of Technology, in 2023.
From 2020 to 2023, he is mainly engaged in research related to acoustic signal processing, artificial intelligence, industrial fault diagnosis and other fields, and he holds a dissertation and two patents.View more
Author image of Yongying Shen
School of Marxism, Guangdong University of Foreign Studies, Guangzhou, China
Yongying Shen was born in Shaoguan, Guangdong, China, in 1978. She received the B.S. degree in Chinese language and literature from Zhanjiang Normal University, and the M.S. degree in Chinese language and literature from Sun Yat-sen University, in 2004, and the Ph.D. degree from Guangdong University of Foreign Studies, in 2019.
From 2004 to 2009, she was a Teaching Assistant with the School of Oriental Language and Culture, Guangdong University of Foreign Studies. From 2010 to 2018, she was a Lecturer with Guangdong University of Foreign Studies. Since 2019, she has been an Associate Researcher with the School of Marxism, Guangdong University of Foreign Studies. She is engaged in research on the education of overseas students in universities and the theory of excellent traditional Chinese culture. In recent years, she has led three projects, including the National Social Science Fund, the Ministry of Education Humanities and Social Science Project, and the Guangdong Provincial Philosophy and Social Science Planning Project. She published more than 20 academic articles in journals, such as China Social Science Journal, East Asian Cultural Research, and Journal of Guangdong University of Foreign Studies.
Yongying Shen was born in Shaoguan, Guangdong, China, in 1978. She received the B.S. degree in Chinese language and literature from Zhanjiang Normal University, and the M.S. degree in Chinese language and literature from Sun Yat-sen University, in 2004, and the Ph.D. degree from Guangdong University of Foreign Studies, in 2019.
From 2004 to 2009, she was a Teaching Assistant with the School of Oriental Language and Culture, Guangdong University of Foreign Studies. From 2010 to 2018, she was a Lecturer with Guangdong University of Foreign Studies. Since 2019, she has been an Associate Researcher with the School of Marxism, Guangdong University of Foreign Studies. She is engaged in research on the education of overseas students in universities and the theory of excellent traditional Chinese culture. In recent years, she has led three projects, including the National Social Science Fund, the Ministry of Education Humanities and Social Science Project, and the Guangdong Provincial Philosophy and Social Science Planning Project. She published more than 20 academic articles in journals, such as China Social Science Journal, East Asian Cultural Research, and Journal of Guangdong University of Foreign Studies.View more
Author image of Yingming Wang
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Yingming Wang was born in January 1998. He received the B.S. degree from Tianjin University of Technology, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.
Yingming Wang was born in January 1998. He received the B.S. degree from Tianjin University of Technology, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.View more
Author image of Zhuoran Cai
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China
Zhuoran Cai was born in March 2000. He received the B.S. degree from Tianjin Chengjian University, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.
Zhuoran Cai was born in March 2000. He received the B.S. degree from Tianjin Chengjian University, in 2022. He is currently pursuing the master’s degree with Wuhan University of Technology.
His research interests include abnormal sound detection in industrial equipment and speech enhancement.View more

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