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Conference Paper

Phonetic content influences voice discriminability

MPS-Authors

Andics,  Attila
Language Comprehension Group, MPI for Psycholinguistics, Max Planck Society;
Decoding Continuous Speech, MPI for Psycholinguistics, Max Planck Society;

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McQueen,  James M.
Language Comprehension Group, MPI for Psycholinguistics, Max Planck Society;
Decoding Continuous Speech, MPI for Psycholinguistics, Max Planck Society;

Van Turennout,  Miranda
Language Production Group Levelt, MPI for Psycholinguistics, Max Planck Society;
Decoding Continuous Speech, MPI for Psycholinguistics, Max Planck Society;

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Andics_2007_phonetic.pdf
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Citation

Andics, A., McQueen, J. M., & Van Turennout, M. (2007). Phonetic content influences voice discriminability. In J. Trouvain, & W. J. Barry (Eds.), Proceedings of the 16th International Congress of Phonetic Sciences (ICPhS 2007) (pp. 1829-1832). Dudweiler: Pirrot.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-1757-3
Abstract
We present results from an experiment which shows that voice perception is influenced by the phonetic content of speech. Dutch listeners were presented with thirteen speakers pronouncing CVC words with systematically varying segmental content, and they had to discriminate the speakers’ voices. Results show that certain segments help listeners discriminate voices more than other segments do. Voice information can be extracted from every segmental position of a monosyllabic word and is processed rapidly. We also show that although relative discriminability within a closed set of voices appears to be a stable property of a voice, it is also influenced by segmental cues – that is, perceived uniqueness of a voice depends on what that voice says.