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Throat and acoustic paired speech dataset for deep learning-based speech enhancement.

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Bibliographic Details
Title:	Throat and acoustic paired speech dataset for deep learning-based speech enhancement.
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

Description
ISSN:	2052-4463
DOI:	10.1038/s41597-026-07268-2