Generalized Subspace Snoring Signal Enhancement Based on Noise Covariance Matrix Estimation-Reference-Cited by-同舟云学术

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Generalized Subspace Snoring Signal Enhancement Based on Noise Covariance Matrix Estimation

Published:2021-04-05 Issue:7 Volume:40 Page:3355-3373
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Ding Li,Peng Jianxin,Jiang Yanmei,Song Lijuan

Funder

National Natural Science Foundation of China

National Youth Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-020-01623-3.pdf

Reference39 articles.

1. A. Azarbarzin, Z. Moussavi, Snoring sounds variability as a signature of obstructive sleep apnea. Med. Eng. Phys. 35(4), 479–485 (2013)

2. S. Boll, Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Process. 27(2), 113–120 (1979)

3. I. Cohen, B. Berdugo, Noise estimation by minima controlled recursive averaging for robust speech enhancement. IEEE Signal Process. Lett. 9(1), 12–15 (2002)

4. E. Dafna, A. Tarasiuk, Y. Zigel, Automatic detection of whole night snoring events using non-contact microphone. PLoS ONE 8(12), e84139 (2013)

5. R. Dahlan, AdaBoost noise estimator for subspace based speech enhancement, in 2018 International Conference on Computer, Control, Informatics and its Applications: Recent Challenges in Machine Learning for Computing Applications, IC3INA 2018—Proceeding (2019), pp. 110–113

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2. AHI estimation of OSAHS patients based on snoring classification and fusion model;American Journal of Otolaryngology;2023-09

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