Noise reduction optimization of sound sensor based on a Conditional Generation Adversarial Network

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Fältnamn	Indikatorer	Metadata
000		03542naa a2200409 4500
001		oai:research.chalmers.se:af58dda2-9198-4308-a1f3-8883d348ad7c
003		SwePub
008		210505s2021 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://research.chalmers.se/publication/5237272 URI
024	7	a https://doi.org/10.1088/1742-6596/1873/1/0120342 DOI
040		a (SwePub)cth
041		a engb eng
042		9 SwePub
072	7	a kon2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Lin, Xiongweiu Guangdong University of Technology4 aut
245	1 0	a Noise reduction optimization of sound sensor based on a Conditional Generation Adversarial Network
264	1	b IOP Publishing,c 2021
338		a electronic2 rdacarrier
520		a To address the problems in the traditional speech signal noise elimination methods, such as the residual noise, poor real-time performance and narrow applications a new method is proposed to eliminate network voice noise based on deep learning of conditional generation adversarial network. In terms of the perceptual evaluation of speech quality (PESQ) and shorttime objective intelligibility measure (STOI) functions used as the loss function in the neural network, which were used as the loss function in the neural network, the flexibility of the whole network was optimized, and the training process of the model simplified. The experimental results indicate that, under the noisy environment, especially in a restaurant, the proposed noise reduction scheme improves the STOI score by 26.23% and PESQ score by 17.18%, respectively, compared with the traditional Wiener noise reduction algorithm. Therefore, the sound sensor's noise reduction scheme through our approach has achieved a remarkable noise reduction effect, more useful information transmission, and stronger practicability.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Telekommunikation0 (SwePub)202042 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Telecommunications0 (SwePub)202042 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Kommunikationssystem0 (SwePub)202032 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Communication Systems0 (SwePub)202032 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Signalbehandling0 (SwePub)202052 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Signal Processing0 (SwePub)202052 hsv//eng
700	1	a Yang, Dongruu Guangdong University of Technology4 aut
700	1	a Mao, Yadongu Chalmers tekniska högskola,Chalmers University of Technology4 aut
700	1	a Zhou, Leiu Guangdong University of Technology4 aut
700	1	a Zhao, Xiaobou Guangdong University of Technology4 aut
700	1	a Lu, Shengguou Guangdong University of Technology4 aut
710	2	a Guangdong University of Technologyb Chalmers tekniska högskola4 org
773	0	t Journal of Physics: Conference Seriesd : IOP Publishingg 1873:1q 1873:1x 1742-6588x 1742-6596
856	4	u https://research.chalmers.se/publication/523727/file/523727_Fulltext.pdfx primaryx freey FULLTEXT
856	4	u https://doi.org/10.1088/1742-6596/1873/1/012034
856	4 8	u https://research.chalmers.se/publication/523727
856	4 8	u https://doi.org/10.1088/1742-6596/1873/1/012034

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Av författaren/redakt...: Lin, Xiongwei; Yang, Dongru; Mao, Yadong; Zhou, Lei; Zhao, Xiaobo; Lu, Shengguo

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