Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene

Silin Zhao; Min Fu

doi:10.1109/ICCASIT58768.2023.10351711

Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene

Silin Zhao^*, Min Fu

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

In the contemporary realm of social communication, the widespread proliferation of applications such as mobile communication, audio-video calls, and voice recognition has led to a continuous surge in the demand for high-quality audio signal processing. However, various sources of noise, including environmental factors, network transmission issues, and inherent device noise, significantly degrade the quality of audio signals, thereby impacting the intelligibility and user experience of voice communication. This paper delves into an in-depth exploration of audio signal denoising algorithms based on wavelet transforms and presents an optimization approach tailored specifically to the context of speech communication. Through extensive experimentation and validation, our method substantially enhances the efficacy of audio denoising, aiming to contribute to the ongoing advancement of social communication technology and the improvement of voice communication quality.

Original language	English
Title of host publication	Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023)
Editors	Huabo Sun
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	726-731
Number of pages	6
ISBN (Electronic)	9798350310603, 9798350310597
ISBN (Print)	9798350310610
DOIs	https://doi.org/10.1109/ICCASIT58768.2023.10351711
Publication status	Published - 2023
Event	5th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2023 - Dali, China Duration: 11 Oct 2023 → 13 Oct 2023

Conference

Conference	5th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2023
Country/Territory	China
City	Dali
Period	11/10/23 → 13/10/23

Keywords

Audio signal processing
denoising
wavelet transform
noise reduction
voice communication
optimization

Access to Document

10.1109/ICCASIT58768.2023.10351711

Cite this

Zhao, S., & Fu, M. (2023). Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene. In H. Sun (Ed.), Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023) (pp. 726-731). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCASIT58768.2023.10351711

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title = "Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene",

abstract = "In the contemporary realm of social communication, the widespread proliferation of applications such as mobile communication, audio-video calls, and voice recognition has led to a continuous surge in the demand for high-quality audio signal processing. However, various sources of noise, including environmental factors, network transmission issues, and inherent device noise, significantly degrade the quality of audio signals, thereby impacting the intelligibility and user experience of voice communication. This paper delves into an in-depth exploration of audio signal denoising algorithms based on wavelet transforms and presents an optimization approach tailored specifically to the context of speech communication. Through extensive experimentation and validation, our method substantially enhances the efficacy of audio denoising, aiming to contribute to the ongoing advancement of social communication technology and the improvement of voice communication quality.",

keywords = "Audio signal processing, denoising, wavelet transform, noise reduction, voice communication, optimization",

author = "Silin Zhao and Min Fu",

year = "2023",

doi = "10.1109/ICCASIT58768.2023.10351711",

language = "English",

isbn = "9798350310610",

pages = "726--731",

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booktitle = "Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "5th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2023 ; Conference date: 11-10-2023 Through 13-10-2023",

}

Zhao, S & Fu, M 2023, Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene. in H Sun (ed.), Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 726-731, 5th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2023, Dali, China, 11/10/23. https://doi.org/10.1109/ICCASIT58768.2023.10351711

Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene. / Zhao, Silin; Fu, Min.
Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023). ed. / Huabo Sun. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 726-731.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene

AU - Zhao, Silin

AU - Fu, Min

PY - 2023

Y1 - 2023

N2 - In the contemporary realm of social communication, the widespread proliferation of applications such as mobile communication, audio-video calls, and voice recognition has led to a continuous surge in the demand for high-quality audio signal processing. However, various sources of noise, including environmental factors, network transmission issues, and inherent device noise, significantly degrade the quality of audio signals, thereby impacting the intelligibility and user experience of voice communication. This paper delves into an in-depth exploration of audio signal denoising algorithms based on wavelet transforms and presents an optimization approach tailored specifically to the context of speech communication. Through extensive experimentation and validation, our method substantially enhances the efficacy of audio denoising, aiming to contribute to the ongoing advancement of social communication technology and the improvement of voice communication quality.

AB - In the contemporary realm of social communication, the widespread proliferation of applications such as mobile communication, audio-video calls, and voice recognition has led to a continuous surge in the demand for high-quality audio signal processing. However, various sources of noise, including environmental factors, network transmission issues, and inherent device noise, significantly degrade the quality of audio signals, thereby impacting the intelligibility and user experience of voice communication. This paper delves into an in-depth exploration of audio signal denoising algorithms based on wavelet transforms and presents an optimization approach tailored specifically to the context of speech communication. Through extensive experimentation and validation, our method substantially enhances the efficacy of audio denoising, aiming to contribute to the ongoing advancement of social communication technology and the improvement of voice communication quality.

KW - Audio signal processing

KW - denoising

KW - wavelet transform

KW - noise reduction

KW - voice communication

KW - optimization

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DO - 10.1109/ICCASIT58768.2023.10351711

M3 - Conference proceeding contribution

AN - SCOPUS:85182268183

SN - 9798350310610

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BT - Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023)

A2 - Sun, Huabo

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 5th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2023

Y2 - 11 October 2023 through 13 October 2023

ER -

Zhao S, Fu M. Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene. In Sun H, editor, Proceedings of 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT 2023). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 726-731 doi: 10.1109/ICCASIT58768.2023.10351711

Optimization of audio signal denoising algorithm based on wavelet transform in speech communication scene

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Keywords

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