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Text-independent Hakka Speaker Recognition in Noisy Environments.

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Bibliographic Details
Title: Text-independent Hakka Speaker Recognition in Noisy Environments.
Authors: Jie Peng1, pengjie@zqu.edu.cn, Chin-Ta Chen1, Cheng-Fu Yang2,3, cfyang@nuk.edu.tw
Source: Sensors & Materials; 2025, Vol. 37 Issue 1, Part 4, p441-451, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182919824
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Text-independent Hakka Speaker Recognition in Noisy Environments.
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  Data: <searchLink fieldCode="AU" term="%22Jie+Peng%22">Jie Peng</searchLink><relatesTo>1</relatesTo>, <i>pengjie@zqu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chin-Ta+Chen%22">Chin-Ta Chen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Cheng-Fu+Yang%22">Cheng-Fu Yang</searchLink><relatesTo>2,3</relatesTo>, <i>cfyang@nuk.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%26+Materials%22">Sensors & Materials</searchLink>; 2025, Vol. 37 Issue 1, Part 4, p441-451, 11p
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    Identifiers:
      – Type: doi
        Value: 10.18494/SAM5466
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 441
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      – TitleFull: Text-independent Hakka Speaker Recognition in Noisy Environments.
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            NameFull: Jie Peng
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            NameFull: Chin-Ta Chen
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            NameFull: Cheng-Fu Yang
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              M: 01
              Text: 2025
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              Y: 2025
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            – TitleFull: Sensors & Materials
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