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• W2093961534 abstract "We describe models of Mandarin prosody that allow us to make quantitative measurements of prosodic strengths. These models use Stem-ML, which is a phenomenological model of the muscle dynamics and planning process that controls the tension of the vocal folds, and therefore the pitch of speech. Because Stem-ML describes the interactions between nearby tones, we were able to capture surface tonal variations using a highly constrained model with only one template for each lexical tone category, and a single prosodic strength per word. The model accurately reproduces the intonation of the speaker, capturing 87% of the variance of f0 with these strength parameters. The result reveals alternating metrical patterns in words, and shows that the speaker marks a hierarchy of boundaries by controlling the prosodic strength of words. The strengths we obtain are also correlated with syllable duration, mutual information and part-of-speech." @default.
• W2093961534 created "2016-06-24" @default.
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• W2093961534 date "2003-11-01" @default.
• W2093961534 modified "2023-09-25" @default.
• W2093961534 title "Quantitative measurement of prosodic strength in Mandarin" @default.
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• W2093961534 doi "https://doi.org/10.1016/s0167-6393(03)00100-6" @default.
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