I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consorti...
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| creator | Lee, Kong Aik Hautamaki, Ville Kinnunen, Tomi Yamamoto, Hitoshi Okabe, Koji Vestman, Ville Huang, Jing Ding, Guohong Sun, Hanwu Larcher, Anthony Das, Rohan Kumar Li, Haizhou Rouvier, Mickael Bousquet, Pierre-Michel Rao, Wei Wang, Qing Zhang, Chunlei Bahmaninezhad, Fahimeh Delgado, Hector Patino, Jose Wang, Qiongqiong Guo, Ling Koshinaka, Takafumi Zhang, Jiacen Shinoda, Koichi Trong, Trung Ngo Sahidullah, Md Lu, Fan Tang, Yun Tu, Ming Teh, Kah Kuan Tran, Huy Dat George, Kuruvachan K Kukanov, Ivan Desnous, Florent Yang, Jichen Yilmaz, Emre Xu, Longting Bonastre, Jean-Francois Xu, Chenglin Lim, Zhi Hao Chng, Eng Siong Ranjan, Shivesh Hansen, John H. L Todisco, Massimiliano Evans, Nicholas |
| description | The I4U consortium was established to facilitate a joint entry to NIST
speaker recognition evaluations (SRE). The latest edition of such joint
submission was in SRE 2018, in which the I4U submission was among the
best-performing systems. SRE'18 also marks the 10-year anniversary of I4U
consortium into NIST SRE series of evaluation. The primary objective of the
current paper is to summarize the results and lessons learned based on the
twelve sub-systems and their fusion submitted to SRE'18. It is also our
intention to present a shared view on the advancements, progresses, and major
paradigm shifts that we have witnessed as an SRE participant in the past decade
from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm
shift from supervector representation to deep speaker embedding, and a switch
of research challenge from channel compensation to domain adaptation. |
| doi_str_mv | 10.48550/arxiv.1904.07386 |
| format | Article |
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speaker recognition evaluations (SRE). The latest edition of such joint
submission was in SRE 2018, in which the I4U submission was among the
best-performing systems. SRE'18 also marks the 10-year anniversary of I4U
consortium into NIST SRE series of evaluation. The primary objective of the
current paper is to summarize the results and lessons learned based on the
twelve sub-systems and their fusion submitted to SRE'18. It is also our
intention to present a shared view on the advancements, progresses, and major
paradigm shifts that we have witnessed as an SRE participant in the past decade
from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm
shift from supervector representation to deep speaker embedding, and a switch
of research challenge from channel compensation to domain adaptation.</description><identifier>DOI: 10.48550/arxiv.1904.07386</identifier><language>eng</language><subject>Computer Science - Computation and Language ; Computer Science - Sound</subject><creationdate>2019-04</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1904.07386$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1904.07386$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Kong Aik</creatorcontrib><creatorcontrib>Hautamaki, Ville</creatorcontrib><creatorcontrib>Kinnunen, Tomi</creatorcontrib><creatorcontrib>Yamamoto, Hitoshi</creatorcontrib><creatorcontrib>Okabe, Koji</creatorcontrib><creatorcontrib>Vestman, Ville</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Ding, Guohong</creatorcontrib><creatorcontrib>Sun, Hanwu</creatorcontrib><creatorcontrib>Larcher, Anthony</creatorcontrib><creatorcontrib>Das, Rohan Kumar</creatorcontrib><creatorcontrib>Li, Haizhou</creatorcontrib><creatorcontrib>Rouvier, Mickael</creatorcontrib><creatorcontrib>Bousquet, Pierre-Michel</creatorcontrib><creatorcontrib>Rao, Wei</creatorcontrib><creatorcontrib>Wang, Qing</creatorcontrib><creatorcontrib>Zhang, Chunlei</creatorcontrib><creatorcontrib>Bahmaninezhad, Fahimeh</creatorcontrib><creatorcontrib>Delgado, Hector</creatorcontrib><creatorcontrib>Patino, Jose</creatorcontrib><creatorcontrib>Wang, Qiongqiong</creatorcontrib><creatorcontrib>Guo, Ling</creatorcontrib><creatorcontrib>Koshinaka, Takafumi</creatorcontrib><creatorcontrib>Zhang, Jiacen</creatorcontrib><creatorcontrib>Shinoda, Koichi</creatorcontrib><creatorcontrib>Trong, Trung Ngo</creatorcontrib><creatorcontrib>Sahidullah, Md</creatorcontrib><creatorcontrib>Lu, Fan</creatorcontrib><creatorcontrib>Tang, Yun</creatorcontrib><creatorcontrib>Tu, Ming</creatorcontrib><creatorcontrib>Teh, Kah Kuan</creatorcontrib><creatorcontrib>Tran, Huy Dat</creatorcontrib><creatorcontrib>George, Kuruvachan K</creatorcontrib><creatorcontrib>Kukanov, Ivan</creatorcontrib><creatorcontrib>Desnous, Florent</creatorcontrib><creatorcontrib>Yang, Jichen</creatorcontrib><creatorcontrib>Yilmaz, Emre</creatorcontrib><creatorcontrib>Xu, Longting</creatorcontrib><creatorcontrib>Bonastre, Jean-Francois</creatorcontrib><creatorcontrib>Xu, Chenglin</creatorcontrib><creatorcontrib>Lim, Zhi Hao</creatorcontrib><creatorcontrib>Chng, Eng Siong</creatorcontrib><creatorcontrib>Ranjan, Shivesh</creatorcontrib><creatorcontrib>Hansen, John H. L</creatorcontrib><creatorcontrib>Todisco, Massimiliano</creatorcontrib><creatorcontrib>Evans, Nicholas</creatorcontrib><title>I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences</title><description>The I4U consortium was established to facilitate a joint entry to NIST
speaker recognition evaluations (SRE). The latest edition of such joint
submission was in SRE 2018, in which the I4U submission was among the
best-performing systems. SRE'18 also marks the 10-year anniversary of I4U
consortium into NIST SRE series of evaluation. The primary objective of the
current paper is to summarize the results and lessons learned based on the
twelve sub-systems and their fusion submitted to SRE'18. It is also our
intention to present a shared view on the advancements, progresses, and major
paradigm shifts that we have witnessed as an SRE participant in the past decade
from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm
shift from supervector representation to deep speaker embedding, and a switch
of research challenge from channel compensation to domain adaptation.</description><subject>Computer Science - Computation and Language</subject><subject>Computer Science - Sound</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjsEKgkAUAPfSIaoP6NT7gWxNLetaRkIUtHaWlz5tIV15W2J_H0X3TnMZmBFi7ErHD4NAzpA73TruSvqOXHrhoi9OsX8B9bxW2lptangYOMYqAXWOYC7dcA0Haomx1HUJBZsKELaUYU5gClA3ZMoh6hpiTXVGdih6Bd4tjX4ciMkuSjb76TedNqwr5Ff6WUi_C95_4w06XTl5</recordid><startdate>20190415</startdate><enddate>20190415</enddate><creator>Lee, Kong Aik</creator><creator>Hautamaki, Ville</creator><creator>Kinnunen, Tomi</creator><creator>Yamamoto, Hitoshi</creator><creator>Okabe, Koji</creator><creator>Vestman, Ville</creator><creator>Huang, Jing</creator><creator>Ding, Guohong</creator><creator>Sun, Hanwu</creator><creator>Larcher, Anthony</creator><creator>Das, Rohan Kumar</creator><creator>Li, Haizhou</creator><creator>Rouvier, Mickael</creator><creator>Bousquet, Pierre-Michel</creator><creator>Rao, Wei</creator><creator>Wang, Qing</creator><creator>Zhang, Chunlei</creator><creator>Bahmaninezhad, Fahimeh</creator><creator>Delgado, Hector</creator><creator>Patino, Jose</creator><creator>Wang, Qiongqiong</creator><creator>Guo, Ling</creator><creator>Koshinaka, Takafumi</creator><creator>Zhang, Jiacen</creator><creator>Shinoda, Koichi</creator><creator>Trong, Trung Ngo</creator><creator>Sahidullah, Md</creator><creator>Lu, Fan</creator><creator>Tang, Yun</creator><creator>Tu, Ming</creator><creator>Teh, Kah Kuan</creator><creator>Tran, Huy Dat</creator><creator>George, Kuruvachan K</creator><creator>Kukanov, Ivan</creator><creator>Desnous, Florent</creator><creator>Yang, Jichen</creator><creator>Yilmaz, Emre</creator><creator>Xu, Longting</creator><creator>Bonastre, Jean-Francois</creator><creator>Xu, Chenglin</creator><creator>Lim, Zhi Hao</creator><creator>Chng, Eng Siong</creator><creator>Ranjan, Shivesh</creator><creator>Hansen, John H. 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L</au><au>Todisco, Massimiliano</au><au>Evans, Nicholas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences</atitle><date>2019-04-15</date><risdate>2019</risdate><abstract>The I4U consortium was established to facilitate a joint entry to NIST
speaker recognition evaluations (SRE). The latest edition of such joint
submission was in SRE 2018, in which the I4U submission was among the
best-performing systems. SRE'18 also marks the 10-year anniversary of I4U
consortium into NIST SRE series of evaluation. The primary objective of the
current paper is to summarize the results and lessons learned based on the
twelve sub-systems and their fusion submitted to SRE'18. It is also our
intention to present a shared view on the advancements, progresses, and major
paradigm shifts that we have witnessed as an SRE participant in the past decade
from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm
shift from supervector representation to deep speaker embedding, and a switch
of research challenge from channel compensation to domain adaptation.</abstract><doi>10.48550/arxiv.1904.07386</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Computation and Language Computer Science - Sound |
| title | I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences |
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