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Shu-chen Ou

Biographic Data

ID5886925
NAMEShu-chen Ou
GIVEN NAMESShu-chen
FAMILY NAMEOu
SIGNATUREOU S
AFFILIATIONSNational Sun Yat-sen University
ORCID0000-0002-9019-2389
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX1
  • The role of lexical stress in spoken English word recognition by listeners of English and Taiwan Mandarin

    Open Access•Shu-chen Ou•ARTICLE•Language and Linguistics 語言暨語言學•2022

    Two perceptual experiments investigated how the suprasegmental information of monosyllables is perceived and exploited in spoken English word recognition by listeners of English and Taiwan Mandarin (TM). Using an auditory lexical decision task in which correctly stressed English words and mis-stressed nonwords (e.g. camPAIGN vs. * CAMpaign ) were presented for lexical decisions, Experiment I demonstrated that TM listeners could perceive the diffe…

  • The Language-specific Use of Fundamental Frequency Rise in Segmentation of an Artificial Language: Evidence from Listeners of Taiwanese Southern Min

    Open Access•Shu-chen Ou, Zhe-chen Guo et al.•ARTICLE•Language and Speech•2021•Cited by: 2•References: 71

    Experience with native-language prosody encourages language-specific strategies for speech segmentation. Conflicting findings from previous research suggest that these strategies may not be abstracted away from the acoustic manifestation of prosodic features in the native speech. Using the artificial language learning paradigm, the current study explores this possibility in connection with listeners of a lexical tone language called Taiwanese Sou…

  • The Language-specific Use of Fundamental Frequency Rise in Segmentation of an Artificial Language: Evidence from Listeners of Taiwanese Southern Min

    Open Access•Shu-chen Ou, Zhe-chen Guo et al.•ARTICLE•Language and Speech•2021•Cited by: 2•References: 71

    Experience with native-language prosody encourages language-specific strategies for speech segmentation. Conflicting findings from previous research suggest that these strategies may not be abstracted away from the acoustic manifestation of prosodic features in the native speech. Using the artificial language learning paradigm, the current study explores this possibility in connection with listeners of a lexical tone language called Taiwanese Sou…

  • The Language-specific Use of Fundamental Frequency Rise in Segmentation of an Artificial Language: Evidence from Listeners of Taiwanese Southern Min

    Open Access•Shu-chen Ou, Zhe-chen Guo et al.•ARTICLE•Language and Speech•2021•Cited by: 2•References: 71

    Experience with native-language prosody encourages language-specific strategies for speech segmentation. Conflicting findings from previous research suggest that these strategies may not be abstracted away from the acoustic manifestation of prosodic features in the native speech. Using the artificial language learning paradigm, the current study explores this possibility in connection with listeners of a lexical tone language called Taiwanese Sou…

  • The role of lexical stress in spoken English word recognition by listeners of English and Taiwan Mandarin

    Open Access•Shu-chen Ou•ARTICLE•Language and Linguistics 語言暨語言學•2022

    Two perceptual experiments investigated how the suprasegmental information of monosyllables is perceived and exploited in spoken English word recognition by listeners of English and Taiwan Mandarin (TM). Using an auditory lexical decision task in which correctly stressed English words and mis-stressed nonwords (e.g. camPAIGN vs. * CAMpaign ) were presented for lexical decisions, Experiment I demonstrated that TM listeners could perceive the diffe…

Computer Science (2 works) · Linguistics (2 works) · Phonetics and Phonology Research (2 works) · Prosody (2 works) · Psychology (2 works) · Speech recognition (2 works) · Syllable (2 works) · Acoustics (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae