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Context-dependent acoustic dimensions underlying voice discrimination: Evidence from interpretable machine learning modeling of human perception

2026-05-12

Abstract excerpt

<p>Voice perception is often conceptualized as occurring in a multidimensional acoustic space, though the stability of its defining dimensions across contexts remains unclear. This study examined how voice discrimination varies by speaker gender and linguistic level (word vs. sentence), using behavioral data from Mandarin-speaking listeners who judged whether paired speech tokens came from the same speaker. Interp...

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Literature Corpus work
ba03a030-71a6-57ec-b534-d7a520924285
DOI
10.31234/osf.io/4zrwy_v3
Open publication

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Context-dependent acoustic dimensions underlying voice discrimination: Evidence from interpretable machine learning modeling of human perceptionDOI 10.31234/osf.io/4zrwy_v3
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