Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin
This study investigates vowel-inherent spectral change (VISC) in spontaneous conversational Mandarin. Using the generalized additive model and word embeddings from distributional semantics, we show that, when controlling for variables such as vowel duration, gender, speaker identity, co-articulation, vowel identity, and utterance position, vowel formant trajectory dynamics have word-specific components that are tied to their meaning in context: The F1 and F2 trajectories of words can be predicted from their contextualized embeddings with an accuracy that substantially exceeds a permutation bas
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- PossiblePossibly related (embedding) · 47%Scaling Properties of Continuous Diffusion Spoken Language Models - Apple Machine Learning Research →
- FuzzyOverlapping authors or contributors · 62%HKUDS/LightRAG →
“Shared author/contributor keys: jin”
- FuzzyOverlapping authors or contributors · 62%keras-team/keras →
“Shared author/contributor keys: jin”
- LinkedLinked via arxiv author · 85%Xiaoyun Jin →
“Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin”
- LinkedLinked via arxiv author · 85%Mirjam Ernestus →
“Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin”
- LinkedLinked via arxiv author · 85%R. Harald Baayen →
“Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin”