A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination
A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence li...
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Veröffentlicht in: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2018/10/01, Vol.E101.A(10), pp.1638-1645 |
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creator | KATO, Masanori SUGIYAMA, Akihiko |
description | A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence likelihood representing spectral smoothness to eliminate speech components. To suppress wind noise with little speech distortion, spectral gains are made smaller in the frame and the frequency where wind-noise is detected. Subjective evaluation results show that the 5-grade MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference. |
doi_str_mv | 10.1587/transfun.E101.A.1638 |
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Subjective evaluation results show that the 5-grade MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference.</description><identifier>ISSN: 0916-8508</identifier><identifier>EISSN: 1745-1337</identifier><identifier>DOI: 10.1587/transfun.E101.A.1638</identifier><language>eng</language><publisher>Tokyo: The Institute of Electronics, Information and Communication Engineers</publisher><subject>Discrimination ; Hard rock music ; Noise reduction ; noise suppressor ; Smoothness ; SNR based detection ; spectral gain modification ; Speech ; speech-wind discrimination ; wind noise</subject><ispartof>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018/10/01, Vol.E101.A(10), pp.1638-1645</ispartof><rights>2018 The Institute of Electronics, Information and Communication Engineers</rights><rights>Copyright Japan Science and Technology Agency 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c363t-7eede1ac802dcfeaaf03546efdd86d2bee98f93b96bbceaf7a32a3e0809285cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1883,27924,27925</link.rule.ids></links><search><creatorcontrib>KATO, Masanori</creatorcontrib><creatorcontrib>SUGIYAMA, Akihiko</creatorcontrib><title>A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination</title><title>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences</title><addtitle>IEICE Trans. Fundamentals</addtitle><description>A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence likelihood representing spectral smoothness to eliminate speech components. To suppress wind noise with little speech distortion, spectral gains are made smaller in the frame and the frequency where wind-noise is detected. Subjective evaluation results show that the 5-grade MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference.</description><subject>Discrimination</subject><subject>Hard rock music</subject><subject>Noise reduction</subject><subject>noise suppressor</subject><subject>Smoothness</subject><subject>SNR based detection</subject><subject>spectral gain modification</subject><subject>Speech</subject><subject>speech-wind discrimination</subject><subject>wind noise</subject><issn>0916-8508</issn><issn>1745-1337</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNplkF1LwzAUhoMoOKf_wIuA151J04_0sm7zA8YEpwjehDQ5cRmzrUmK-O9tmY6BV-fivM_5eBC6pGRCU55fBydrb7p6MqeETsoJzRg_QiOaJ2lEGcuP0YgUNIt4SvgpOvN-QwjlMU1G6K3Er7bW0bKxHvCqa1sH3jcOf9mwxqvlE76RHvRhaAYBVLBNjWWt8aoFUOto6OOZ9crZD1vLoX2OTozcerj4rWP0cjt_nt5Hi8e7h2m5iBTLWIhyAA1UKk5irQxIaQhLkwyM1jzTcQVQcFOwqsiqSoE0uWSxZEA4KWKeKsPG6Go3t3XNZwc-iE3TubpfKWLW_8kYzXmfSnYp5RrvHRjR9qdK9y0oEYNF8WdRDBZFKQaLPbbYYRsf5DvsIemCVVv4D5FDfB9Ta-kE1OwH0fGE6w</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>KATO, Masanori</creator><creator>SUGIYAMA, Akihiko</creator><general>The Institute of Electronics, Information and Communication Engineers</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20181001</creationdate><title>A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination</title><author>KATO, Masanori ; SUGIYAMA, Akihiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-7eede1ac802dcfeaaf03546efdd86d2bee98f93b96bbceaf7a32a3e0809285cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Discrimination</topic><topic>Hard rock music</topic><topic>Noise reduction</topic><topic>noise suppressor</topic><topic>Smoothness</topic><topic>SNR based detection</topic><topic>spectral gain modification</topic><topic>Speech</topic><topic>speech-wind discrimination</topic><topic>wind noise</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KATO, Masanori</creatorcontrib><creatorcontrib>SUGIYAMA, Akihiko</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KATO, Masanori</au><au>SUGIYAMA, Akihiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination</atitle><jtitle>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences</jtitle><addtitle>IEICE Trans. Fundamentals</addtitle><date>2018-10-01</date><risdate>2018</risdate><volume>E101.A</volume><issue>10</issue><spage>1638</spage><epage>1645</epage><pages>1638-1645</pages><issn>0916-8508</issn><eissn>1745-1337</eissn><abstract>A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence likelihood representing spectral smoothness to eliminate speech components. To suppress wind noise with little speech distortion, spectral gains are made smaller in the frame and the frequency where wind-noise is detected. 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subjects | Discrimination Hard rock music Noise reduction noise suppressor Smoothness SNR based detection spectral gain modification Speech speech-wind discrimination wind noise |
title | A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination |
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