DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Hyungjun | ko |
dc.contributor.author | Kim, Younggwan | ko |
dc.contributor.author | Goo, Jahyun | ko |
dc.contributor.author | Kim, Hoirin | ko |
dc.date.accessioned | 2020-10-22T00:55:55Z | - |
dc.date.available | 2020-10-22T00:55:55Z | - |
dc.date.created | 2020-01-27 | - |
dc.date.created | 2020-01-27 | - |
dc.date.created | 2020-01-27 | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | IEEE SIGNAL PROCESSING LETTERS, v.27, no.1, pp.126 - 130 | - |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.uri | http://hdl.handle.net/10203/276849 | - |
dc.description.abstract | Previous research methods on wake-up word detection (WWD) have been proposed with focus on finding a decent word representation that can well express the characteristics of a word. However, there are various obstacles such as noise and reverberation which make it difficult in real-world environments where WWD works. To tackle this, we propose a novel architecture called interlayer selective attention network (ISAN) which generates more robust word representation by introducing the concept of selective attention. Experiments in real-world scenarios demonstrated that the proposed ISAN outperformed several baseline methods as well as other attention methods. In addition, the effectiveness of ISAN was analyzed with visualizations. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Interlayer Selective Attention Network for Robust Personalized Wake-up Word Detection | - |
dc.type | Article | - |
dc.identifier.wosid | 000619206700006 | - |
dc.identifier.scopusid | 2-s2.0-85079768177 | - |
dc.type.rims | ART | - |
dc.citation.volume | 27 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 126 | - |
dc.citation.endingpage | 130 | - |
dc.citation.publicationname | IEEE SIGNAL PROCESSING LETTERS | - |
dc.identifier.doi | 10.1109/LSP.2019.2959902 | - |
dc.contributor.localauthor | Kim, Hoirin | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Interlayer selective attention network (ISAN) | - |
dc.subject.keywordAuthor | acoustic word embedding | - |
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