Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation
In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an inter...
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creator | Uemura, Y. Takahashi, Yu Saruwatari, H. Shikano, K. Kondo, K. |
description | In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal-s probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS. |
doi_str_mv | 10.1109/ICASSP.2009.4960613 |
format | Conference Proceeding |
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Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal-s probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.</description><identifier>ISSN: 1520-6149</identifier><identifier>ISBN: 9781424423538</identifier><identifier>ISBN: 1424423538</identifier><identifier>EISSN: 2379-190X</identifier><identifier>EISBN: 9781424423545</identifier><identifier>EISBN: 1424423546</identifier><identifier>DOI: 10.1109/ICASSP.2009.4960613</identifier><language>eng</language><publisher>IEEE</publisher><subject>Acoustic noise ; higher-order statistics ; minimum mean-square error short-time spectral amplitude ; Musical noise ; Noise generators ; Noise level ; Noise reduction ; Noise shaping ; Probability density function ; Shape ; Signal generators ; Signal processing ; Signal to noise ratio ; spectral subtraction ; speech enhancement</subject><ispartof>2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.4433-4436</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4960613$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4960613$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Uemura, Y.</creatorcontrib><creatorcontrib>Takahashi, Yu</creatorcontrib><creatorcontrib>Saruwatari, H.</creatorcontrib><creatorcontrib>Shikano, K.</creatorcontrib><creatorcontrib>Kondo, K.</creatorcontrib><title>Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation</title><title>2009 IEEE International Conference on Acoustics, Speech and Signal Processing</title><addtitle>ICASSP</addtitle><description>In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. 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We give a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.</description><subject>Acoustic noise</subject><subject>higher-order statistics</subject><subject>minimum mean-square error short-time spectral amplitude</subject><subject>Musical noise</subject><subject>Noise generators</subject><subject>Noise level</subject><subject>Noise reduction</subject><subject>Noise shaping</subject><subject>Probability density function</subject><subject>Shape</subject><subject>Signal generators</subject><subject>Signal processing</subject><subject>Signal to noise ratio</subject><subject>spectral subtraction</subject><subject>speech enhancement</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9781424423538</isbn><isbn>1424423538</isbn><isbn>9781424423545</isbn><isbn>1424423546</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtqwlAQhk9vULE-gZvzArHnnsxSxNaC0kJcdCfnMmlP0URykoVv32Cz6Wx-mA--YX5C5pwtOGfw_LZaluXHQjAGCwWGGS5vyAzygiuhlJBa6VsyETKHjAP7vPvHZHFPJlwLlhmu4JHMUvphwygtudIT0u36FL090rqJCekX1tjaLjY1tbU9XlJMtGrakbYYen-FJ-y-m5CoswkDHRbpjL5rB0_q3ZB-VAS625VrWu7LJcXUxdPV_UQeKntMOBtzSvYv6_1qk23fX4dvt1kUqugyAGN97rwOLDCrLHNWAIA20qKwufRY5cCCyQvnKuGd4Si9UrowgIXgckrmf9qIiIdzO1xvL4exQvkLXiZi1w</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Uemura, Y.</creator><creator>Takahashi, Yu</creator><creator>Saruwatari, H.</creator><creator>Shikano, K.</creator><creator>Kondo, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200904</creationdate><title>Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation</title><author>Uemura, Y. ; Takahashi, Yu ; Saruwatari, H. ; Shikano, K. ; Kondo, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i248t-996ac7bc5d0d0a4a0ba2999563ae2a73cef790d678bbf2cb61e3c445869e8213</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acoustic noise</topic><topic>higher-order statistics</topic><topic>minimum mean-square error short-time spectral amplitude</topic><topic>Musical noise</topic><topic>Noise generators</topic><topic>Noise level</topic><topic>Noise reduction</topic><topic>Noise shaping</topic><topic>Probability density function</topic><topic>Shape</topic><topic>Signal generators</topic><topic>Signal processing</topic><topic>Signal to noise ratio</topic><topic>spectral subtraction</topic><topic>speech enhancement</topic><toplevel>online_resources</toplevel><creatorcontrib>Uemura, Y.</creatorcontrib><creatorcontrib>Takahashi, Yu</creatorcontrib><creatorcontrib>Saruwatari, H.</creatorcontrib><creatorcontrib>Shikano, K.</creatorcontrib><creatorcontrib>Kondo, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Uemura, Y.</au><au>Takahashi, Yu</au><au>Saruwatari, H.</au><au>Shikano, K.</au><au>Kondo, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation</atitle><btitle>2009 IEEE International Conference on Acoustics, Speech and Signal Processing</btitle><stitle>ICASSP</stitle><date>2009-04</date><risdate>2009</risdate><spage>4433</spage><epage>4436</epage><pages>4433-4436</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9781424423538</isbn><isbn>1424423538</isbn><eisbn>9781424423545</eisbn><eisbn>1424423546</eisbn><abstract>In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal-s probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2009.4960613</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acoustic noise higher-order statistics minimum mean-square error short-time spectral amplitude Musical noise Noise generators Noise level Noise reduction Noise shaping Probability density function Shape Signal generators Signal processing Signal to noise ratio spectral subtraction speech enhancement |
title | Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation |
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