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  Multiple levels of linguistic and paralinguistic features contribute to voice recognition

Zarate, J. M., Tian, X., Woods, K. J., & Poeppel, D. (2015). Multiple levels of linguistic and paralinguistic features contribute to voice recognition. Scientific Reports, 5: 11475. doi:10.1038/srep11475.

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 Creators:
Zarate, Jean Mary1, Author
Tian, Xing1, Author
Woods, Kevin J.P. 1, Author
Poeppel, David1, 2, Author              
Affiliations:
1New York University, New York, NY, USA, ou_persistent22              
2Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              

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Free keywords: Human behaviour; Language; Long-term memory; Perception
 Abstract: Voice or speaker recognition is critical in a wide variety of social contexts. In this study, we investigated the contributions of acoustic, phonological, lexical, and semantic information toward voice recognition. Native English speaking participants were trained to recognize five speakers in five conditions: non-speech, Mandarin, German, pseudo-English, and English. We showed that voice recognition significantly improved as more information became available, from purely acoustic features in non-speech to additional phonological information varying in familiarity. Moreover, we found that the recognition performance is transferable between training and testing in phonologically familiar conditions (German, pseudo-English, and English), but not in unfamiliar (Mandarin) or non-speech conditions. These results provide evidence suggesting that bottom-up acoustic analysis and top-down influence from phonological processing collaboratively govern voice recognition.

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Language(s): eng - English
 Dates: 2014-11-212015-05-182015-06-19
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/srep11475
 Degree: -

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Affiliations:
Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 5 Sequence Number: 11475 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322