Throat and acoustic paired speech dataset for deep learning-based speech enhancement.
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| Title: | Throat and acoustic paired speech dataset for deep learning-based speech enhancement. |
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| Authors: | Kim Y; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea., Song Y; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea., Chung Y; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr.; Graduate School of Semiconductor Technology, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr.; Intus Co. Ltd., 87 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr. |
| Source: | Scientific data [Sci Data] 2026 Apr 20; Vol. 13 (1). Date of Electronic Publication: 2026 Apr 20. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42009698 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Throat and acoustic paired speech dataset for deep learning-based speech enhancement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kim+Y%22">Kim Y</searchLink>; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea.<br /><searchLink fieldCode="AU" term="%22Song+Y%22">Song Y</searchLink>; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea.<br /><searchLink fieldCode="AU" term="%22Chung+Y%22">Chung Y</searchLink>; Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr.; Graduate School of Semiconductor Technology, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr.; Intus Co. Ltd., 87 Cheongam-ro Nam-gu, Pohang, Gyeongbuk, 37673, Korea. ychung@postech.ac.kr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101640192%22">Scientific data</searchLink> [Sci Data] 2026 Apr 20; Vol. 13 (1). <i>Date of Electronic Publication: </i>2026 Apr 20. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Dataset – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101640192 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2052-4463 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220524463%22">20524463 </searchLink><i>NLM ISO Abbreviation: </i>Sci Data <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42009698 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41597-026-07268-2 Languages: – Code: eng Text: English Titles: – TitleFull: Throat and acoustic paired speech dataset for deep learning-based speech enhancement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim Y – PersonEntity: Name: NameFull: Song Y – PersonEntity: Name: NameFull: Chung Y IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 04 Text: 2026 Apr 20 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2052-4463 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific data Type: main |
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