Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
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. © 2003 Elsevier B.V. All rights reserved.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Arnon Amir, M. Lindenbaum
Computer Vision and Image Understanding
Bowen Alpern, Larry Carter
VIS 1991
Rogerio Feris, Lisa M. Brown, et al.
ICPR 2014