Journal articles on the topic 'Noise control'

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1

Rheem, JaeYeol. "Intelligent Adaptive Active Noise Control in Non-stationary Noise Environments." JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA 32, no. 5 (2013): 408. http://dx.doi.org/10.7776/ask.2013.32.5.408.

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2

SOUMA, ISAO. "Noise Control." Sen'i Gakkaishi 44, no. 9 (1988): P338—P339. http://dx.doi.org/10.2115/fiber.44.9_p338.

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3

ENAMITO, Akihiko. "Noise Control." Journal of the Society of Mechanical Engineers 103, no. 976 (2000): 160–63. http://dx.doi.org/10.1299/jsmemag.103.976_160.

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4

Paulo Fernandes Garcia, José, Edson dos Santos Bortoloto, Jean Marcos de Souza Ribeiro, and Lizete Maria Crnkowise Fernandes Garcia. "Active Noise Attenuation Using Lqg/ltr Control." Eletrônica de Potência 9, no. 2 (November 1, 2004): 23–27. http://dx.doi.org/10.18618/rep.2004.2.023027.

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5

Paulo Fernandes Garcia, José, Edson dos Santos Bortoloto, Jean Marcos de Souza Ribeiro, and Lizete Maria Crnkowise Fernandes Garcia. "Active Noise Attenuation Using Lqg/ltr Control." Eletrônica de Potência 9, no. 2 (November 1, 2004): 23–27. http://dx.doi.org/10.18618/rep.2005.2.023027.

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6

Chernyak, Mykola, and Roman Chornomorets. "Experimental studies of electrical noise in the aircraft control system." MECHANICS OF GYROSCOPIC SYSTEMS, no. 39 (May 20, 2020): 31–46. http://dx.doi.org/10.20535/0203-3771392020229073.

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Currently, the problem of reducing noise in electrical equipment is important, because a noise in the system affects its components and can cause unpredictable behavior of the electrical system. This is especially important onboard of unmanned aerial vehicle (UAV), where all components are located close to each other and their noise has a significant cross-effect. Conductors passing through a noisy environment can pick up a noise and direct it to another circuits, where it creates interference. Some examples of such noise problems are: degraded accuracy characteristics of microcontroller modules (Analog-to-Digital Converters (ADC), Phase-Locked Loops (PLL) and other) due to noise on supply and reference voltages, wrong acquisition of the digital signals and interference with global navigation satellite system (GNSS) or remote control system of UAV. This article is dedicated to the research of the influence of electrical noise, which is formed by the components of the UAV control system (engines, electric motor controllers, microcontroller etc.), on the performance and noise protection of electronic components of the UAV control system. After the research it was concluded that the main sources of elecrtrical noise in the UAV control system are: high currents, consumed by electronic speed controllers (with motors), high-speed toggling of clock signal of SPI / I2C communication, regulation by step-down voltage regulator and internal processes inside the microcontroller due to work of flight control firmware. The waveforms of generated noises, caused by each source was measured with oscilloscope and depicted in the article.
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7

Selvaraj, Poovarasan, and E. Chandra. "A variant of SWEMDH technique based on variational mode decomposition for speech enhancement." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 3 (November 10, 2021): 299–308. http://dx.doi.org/10.3233/kes-210072.

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In Speech Enhancement (SE) techniques, the major challenging task is to suppress non-stationary noises including white noise in real-time application scenarios. Many techniques have been developed for enhancing the vocal signals; however, those were not effective for suppressing non-stationary noises very well. Also, those have high time and resource consumption. As a result, Sliding Window Empirical Mode Decomposition and Hurst (SWEMDH)-based SE method where the speech signal was decomposed into Intrinsic Mode Functions (IMFs) based on the sliding window and the noise factor in each IMF was chosen based on the Hurst exponent data. Also, the least corrupted IMFs were utilized to restore the vocal signal. However, this technique was not suitable for white noise scenarios. Therefore in this paper, a Variant of Variational Mode Decomposition (VVMD) with SWEMDH technique is proposed to reduce the complexity in real-time applications. The key objective of this proposed SWEMD-VVMDH technique is to decide the IMFs based on Hurst exponent and then apply the VVMD technique to suppress both low- and high-frequency noisy factors from the vocal signals. Originally, the noisy vocal signal is decomposed into many IMFs using SWEMDH technique. Then, Hurst exponent is computed to decide the IMFs with low-frequency noisy factors and Narrow-Band Components (NBC) is computed to decide the IMFs with high-frequency noisy factors. Moreover, VVMD is applied on the addition of all chosen IMF to remove both low- and high-frequency noisy factors. Thus, the speech signal quality is improved under non-stationary noises including additive white Gaussian noise. Finally, the experimental outcomes demonstrate the significant speech signal improvement under both non-stationary and white noise surroundings.
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8

Naoe, Nobuyuki, Syohei Osaka, and Hirofumi Yamada. "Active Noise Control of Motor Noise." JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN 32, no. 5 (1997): 377–81. http://dx.doi.org/10.5988/jime1966.32.377.

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9

SASAKI, Yuichi, Yoichi KANEMITSU, Shinya KIJIMOTO, and Koichi MATSUDA. "Active Noise Control against incoming noise." Proceedings of the Symposium on Environmental Engineering 2003.13 (2003): 49–52. http://dx.doi.org/10.1299/jsmeenv.2003.13.49.

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10

Lee, Nokhaeng, and Youngjin Park. "Active Noise Control for Dishwasher noise." Journal of Physics: Conference Series 744 (September 2016): 012189. http://dx.doi.org/10.1088/1742-6596/744/1/012189.

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11

Elliott, S. J. "Down with noise [active noise control]." IEEE Spectrum 36, no. 6 (June 1999): 54–61. http://dx.doi.org/10.1109/6.769270.

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12

C.O., Amosu. "Effects of Noise and Control in Mine Operation." Indian Journal of Petroleum Engineering 1, no. 2 (November 10, 2021): 1–15. http://dx.doi.org/10.35940/ijpe.b1903.111221.

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Noise and noise induced hearing loss (NIHL) in the workplace is a serious issue. Not only can it affect hearing, it can also affect ability to work safely. This is because noises make it difficult to hear instructions or safety warnings. Mine workers each have a responsibility for safety in relation to noise. This paper informs underground and surface mine operators and mine workers to recognise, manage and control risks associated with occupational noise exposure. It explains the health effects of noise, source and noise exposure types; measurement of exposure standards and control measures that can reduce these risks.
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13

C.O., Amosu. "Effects of Noise and Control in Mine Operation." Indian Journal of Petroleum Engineering 1, no. 2 (November 10, 2021): 1–15. http://dx.doi.org/10.54105/ijpe.b1903.111221.

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Noise and noise induced hearing loss (NIHL) in the workplace is a serious issue. Not only can it affect hearing, it can also affect ability to work safely. This is because noises make it difficult to hear instructions or safety warnings. Mine workers each have a responsibility for safety in relation to noise. This paper informs underground and surface mine operators and mine workers to recognise, manage and control risks associated with occupational noise exposure. It explains the health effects of noise, source and noise exposure types; measurement of exposure standards and control measures that can reduce these risks.
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14

Benini, Leonardo. "Control the noise." Nature Physics 17, no. 9 (September 2021): 983. http://dx.doi.org/10.1038/s41567-021-01354-5.

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15

Elliott, S. J., and P. A. Nelson. "Active noise control." IEEE Signal Processing Magazine 10, no. 4 (October 1993): 12–35. http://dx.doi.org/10.1109/79.248551.

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16

Bies, David H., Colin H. Hansen, and Richard H. Campbell. "Engineering Noise Control." Journal of the Acoustical Society of America 100, no. 3 (September 1996): 1279. http://dx.doi.org/10.1121/1.416038.

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17

Edwards, John W., and Nicolaas M. J. Dekker. "Active noise control." Journal of the Acoustical Society of America 91, no. 4 (April 1992): 2303. http://dx.doi.org/10.1121/1.403620.

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18

Fischer, E. C. "Noise control composite." Journal of the Acoustical Society of America 100, no. 4 (1996): 1935. http://dx.doi.org/10.1121/1.417850.

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19

Warnaka, Glenn E. "Active noise control." Journal of the Acoustical Society of America 101, no. 5 (1997): 2426. http://dx.doi.org/10.1121/1.418415.

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20

Schlinker, Robert H., and Edward J. Kerschen. "Airfoil noise control." Journal of the Acoustical Society of America 102, no. 6 (1997): 3249. http://dx.doi.org/10.1121/1.419556.

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21

Bell, L. H., and H. Saunders. "Industrial Noise Control." Journal of Vibration and Acoustics 107, no. 2 (April 1, 1985): 271–72. http://dx.doi.org/10.1115/1.3269256.

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22

Stephens, David G. "Aircraft noise control." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3323. http://dx.doi.org/10.1121/1.412832.

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23

Jessel, Maurice, and Shinji Yamada. "Active noise control." Journal of the Acoustical Society of Japan (E) 8, no. 4 (1987): 151–54. http://dx.doi.org/10.1250/ast.8.151.

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24

Long, Marshall. "Geothermal Noise Control." Acoustics Today 5, no. 4 (2009): 23. http://dx.doi.org/10.1121/1.3291184.

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25

Maidanik, G., and K. J. Becker. "Induced noise control." Journal of Sound and Vibration 277, no. 4-5 (November 2004): 1041–58. http://dx.doi.org/10.1016/j.jsv.2003.09.056.

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26

Waldron, Denise. "Environmental noise control." Nature Reviews Genetics 16, no. 11 (September 29, 2015): 624–25. http://dx.doi.org/10.1038/nrg4021.

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27

Bommer, Arno S., and Adam Young. "Dredge noise control." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3883. http://dx.doi.org/10.1121/1.4988701.

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28

Seebold, James G. "Control Valve Noise." Noise Control Engineering Journal 24, no. 1 (1985): 6. http://dx.doi.org/10.3397/1.2827643.

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29

Elliot, S. J., and P. A. Nelson. "Active noise control." Noise News International 2, no. 2 (June 1, 1994): 75–98. http://dx.doi.org/10.3397/1.3703006.

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30

Robinson, W. D. "Industrial noise control." Physics in Technology 16, no. 3 (May 1985): 107–20. http://dx.doi.org/10.1088/0305-4624/16/3/302.

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31

Lang, William W. "Noise Control Foundation." Building Acoustics 13, no. 1 (January 2006): 81. http://dx.doi.org/10.1260/135101006776324860.

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32

Pawelczyk, Marek. "Active Noise Control." Advances in Acoustics and Vibration 2008 (July 21, 2008): 1–2. http://dx.doi.org/10.1155/2008/350943.

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33

Swanson, David C. "Active noise control." Applied Acoustics 39, no. 3 (1993): 229–31. http://dx.doi.org/10.1016/0003-682x(93)90005-q.

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34

Ng, Kam W. "Control valve noise." ISA Transactions 33, no. 3 (September 1994): 275–86. http://dx.doi.org/10.1016/0019-0578(94)90098-1.

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35

NISHIMURA, Masaharu. "Active Vibration and Noise Control. Active Noise Control in Duct." Journal of the Japan Society for Precision Engineering 64, no. 5 (1998): 669–73. http://dx.doi.org/10.2493/jjspe.64.669.

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36

SUZUKI, Seiichirou. "Active Vibration and Noise Control. Noise Control of Domestic Facilities." Journal of the Japan Society for Precision Engineering 64, no. 5 (1998): 679–83. http://dx.doi.org/10.2493/jjspe.64.679.

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37

Lee, Hyuck-Jae, Young-Cheol Park, Chungyong Lee, and Dae Hee Youn. "Fast active noise control algorithm for car exhaust noise control." Electronics Letters 36, no. 14 (2000): 1250. http://dx.doi.org/10.1049/el:20000856.

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38

van, Keulen. "Impact of noise on health: Measures to control excessive traffic noise levels." Education and Research in Health Sciences 2, no. 1 (2023): 22–30. http://dx.doi.org/10.5937/erhs2-43976.

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Long-standing research has shown that noise pollution has harmful consequences on human health. Environmental noise is becoming a significant problem in most nations. The spread of undesired noises into the environment is known as noise pollution. We are virtually constantly surrounded by noise. Environmental noise causes an illness burden that is second only to the air pollution-related disease burden in terms of scale. Due to noise from roads, trains, and airports, one in three persons is annoyed during the day and one in five has sleep disturbances at night. Noise exposure may have both a direct and an indirect impact on one's physical health. In extreme circumstances, loud noises might really harm your hearing. In addition to severely harming human health, this excessive noise prevents individuals from going about their everyday lives at home, at work, at school, and in their free time. Chronic exposure to environmental noise has a considerable negative impact on both physical and mental health. The most common source of environmental noise and the main factor in the overall negative impact of noise on health is road traffic noise. The most popular technique for noise reduction, if noise mitigation is determined to be practical and appropriate, is the application of noise barriers. However, out of the several technologies available to road authorities, the application of noise-reducing pavements is not only the most cost-effective but also can be implemented on short notice.
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39

Yu, Jinshan, Zhongyuan Zheng, Yamin Li, Haohui Wang, Ying Hao, Xiaoxia Liang, and Jianzheng Gao. "An Investigation of Real-Time Active Noise Control for 10 kV Substation Noise Suppression." Sustainability 15, no. 18 (September 7, 2023): 13430. http://dx.doi.org/10.3390/su151813430.

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Substation noise is a crucial factor that influences residents’ quality of life, especially in the densely residential areas. Despite small- and medium-sized transformer facilities having relatively low noise levels, due to their proximity to residential areas, they generate considerable annoyance, rendering them a focal point among environmental noise complaints. The predominant noise emitted by these facilities falls within the medium- and low-frequency spectrum range, and the conventional passive noise reduction techniques exhibit limited efficacy in attenuating such low-frequency noise. This study develops a real-time active noise control (ANC) system based on a digital signal processor, TMS320F28335, and various ANC methods, including Filtered-X Least Mean Squares (FxLMS), Normalized Filter-X Least Mean Squares (FxNLMS), and variable step-size FxLMS (VS-FxLMS), are evaluated for the low-frequency noise reduction. In addition, the substation noises at a residential community are measured, analyzed, and used as noise source together with a series of sinusoidal waves for evaluation of the ANC algorithms. Results show the ANC system are effective in attenuating most low-frequency noises (within 600 Hz) and the average noise reduction for the substation noises has achieved by more than 12 dB.
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40

Bacria, Vasile, and Nicolae Herisanu. "Noise Control in an Industrial Hall." Applied Mechanics and Materials 430 (September 2013): 251–56. http://dx.doi.org/10.4028/www.scientific.net/amm.430.251.

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nside the industrial halls one can find different noisy machines and equipments. During their work these ones generate noise and vibrations which affect human beings inside or outside the hall. In this paper we present the results obtained in the investigation of the acoustic field generated by sources within an industrial hall emphasizing the frequency spectra, characteristic parameters, propagation way and some effects generated. A description of measurements is included together with an analysis of obtained results as well as the establishment of noise mitigation methods consisting in acoustical arrangement of the hall in order to eliminate the unpleasant effects.
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41

KOBA, Yosuke, Shinya KIJIMOTO, Ikuma IKEDA, Keitaro KAGEYAMA, and Koichi MATSUDA. "621 Active Noise Control of Impact Noise." Proceedings of the Dynamics & Design Conference 2008 (2008): _621–1_—_621–5_. http://dx.doi.org/10.1299/jsmedmc.2008._621-1_.

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42

Ffowcs Williams, J. E. "Noise, anti-noise and fluid flow control." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 360, no. 1794 (May 15, 2002): 821–32. http://dx.doi.org/10.1098/rsta.2001.0969.

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43

NAKAMURA, Shota, Shinya KIJIMOTO, Yosuke KOBA, and Ikuma IKEDA. "631 Active Noise Control for Impact Noise." Proceedings of the Dynamics & Design Conference 2011 (2011): _631–1_—_631–7_. http://dx.doi.org/10.1299/jsmedmc.2011._631-1_.

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44

Zhong, Yan Jiong, Kai Yue, and Zhen Shan Zhang. "Identification of a space noise control model and active noise control." Journal of the Acoustical Society of America 98, no. 5 (November 1995): 2918. http://dx.doi.org/10.1121/1.414225.

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45

Muehleisen, Ralph T. "Noise control in buildings—A noise‐control class for architectural engineers." Journal of the Acoustical Society of America 108, no. 5 (November 2000): 2589. http://dx.doi.org/10.1121/1.4743627.

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46

Seon Joon Park, Jeong Hyeon Yun, Young Cheol Park, and Dae Hee Youn. "A delayless subband active noise control system for wideband noise control." IEEE Transactions on Speech and Audio Processing 9, no. 8 (2001): 892–99. http://dx.doi.org/10.1109/89.966092.

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47

Ghangale, Dhananjay, and Dhanesh Manik. "A New Time Varying Hybrid Active Noise Control System with Online Secondary Path Modelling." Applied Mechanics and Materials 592-594 (July 2014): 2455–59. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2455.

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—Active noise control is used to reduce low frequency noises. A hybrid ANC structure combines feedforward and feedback structure to generate an anti-noise wave, which results in high performance in control of unwanted noise. In this paper, a hybrid structure for active noise control (ANC) is developed. The hybrid structure utilises a variable step size LMS algorithm for faster convergence. This structure also incorporates variable step size (VSS) online secondary path modelling, the white noise injection is stopped at the optimum point when the modelling accuracy is sufficient. Comparative simulation results shown in this paper indicate the effectiveness of the proposed approach in reducing acoustic noises.
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48

Song, Eun-Sung, Young-Jun Lim, Bongju Kim, and Jeffery Sungjae Mun. "Noise Reduction Using Active Vibration Control Methods in CAD/CAM Dental Milling Machines." Applied Sciences 9, no. 8 (April 12, 2019): 1516. http://dx.doi.org/10.3390/app9081516.

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Used in close proximity to dental practitioners, dental tools and devices, such as hand pieces, have been a possible risk factor to hearing loss due to the noises they produce. Recently, additional technologies such as CAD/CAM (Computer Aided Design/Computer Aided Manufacturing) milling machines have been used in the dental environment and have emerged as a new contributing noise source. This has created an issue in fostering a pleasant hospital environment. Currently, because of issues with installing and manufacturing noise-reducing products, the technology is impractical and insufficient relative to its costly nature. In this experiment, in order to create a safe working environment, we hoped to analyze the noise produced and determine a practical method to attenuate the noises coming from CAD/CAM dental milling machines. In this research, the cause for a noise and the noise characteristics were analyzed by observing and measuring the sound from a milling machine and the possibility of reducing noise in an experimental setting was examined using a noise recorded from a real milling machine. Since a milling machine generates noise mainly due to vibration of the dust collector, the possibility of reducing noise was examined by controlling vibration. This study was conducted to understand the cause for noise from the milling machine and verify the possibility of improving noise by a tactile transducer.
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49

Hao, Yiya, Shuai Cheng, Gong Chen, Yaobin Chen, and Liang Ruan. "A neural network based noise suppression method for transient noise control with low-complexity computation." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (August 1, 2021): 5902–9. http://dx.doi.org/10.3397/in-2021-11598.

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Over the decades, the noise-suppression (NS) methods for speech enhancement (SE) have been widely utilized, including the conventional signal processing methods and the deep neural networks (DNN) methods. Although stationary-noise can be suppressed successfully using conventional or DNN methods, it is significantly challenging while suppressing the non-stationary noise, especially the transient noise. Compared to conventional NS methods, DNN NS methods may work more effectively under non-stationary noises by learning the noises' temporal-frequency characteristics. However, most DNN methods are challenging to be implemented on mobile devices due to their heavy computation complexity. Indeed, even a few low-complexity DNN methods are proposed for real-time purposes, the robustness and the generalization degrade for different types of noise. This paper proposes a single channel DNN-based NS method for transient noise with low computation complexity. The proposed method enhanced the signal-to-noise ratio (SNR) while minimizing the speech's distortion, resulting in a superior improvement of the speech quality over different noise types, including transient noise.
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50

Kim. "A New Parallel Method for Narrowband Active Noise Control." Journal of the Acoustical Society of Korea 33, no. 6 (2014): 375. http://dx.doi.org/10.7776/ask.2014.33.6.375.

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