Quantitative measurement of prosodic strength in Mandarin
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. Becau...
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Format: | Journal article |
Language: | English |
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Elsevier
2003
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author | Kochanski, G Shih, C Jing, H |
author2 | European Association for Signal Processing (EURASIP) |
author_facet | European Association for Signal Processing (EURASIP) Kochanski, G Shih, C Jing, H |
author_sort | Kochanski, G |
collection | OXFORD |
description | 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. |
first_indexed | 2024-03-07T02:07:24Z |
format | Journal article |
id | oxford-uuid:9f72e144-ab3b-4fe2-af3d-a3d233472728 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T02:07:24Z |
publishDate | 2003 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:9f72e144-ab3b-4fe2-af3d-a3d2334727282022-03-27T00:57:57ZQuantitative measurement of prosodic strength in MandarinJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9f72e144-ab3b-4fe2-af3d-a3d233472728LinguisticsEnglishOxford University Research Archive - ValetElsevier2003Kochanski, GShih, CJing, HEuropean Association for Signal Processing (EURASIP)International Speech Communication AssociationWe 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. |
spellingShingle | Linguistics Kochanski, G Shih, C Jing, H Quantitative measurement of prosodic strength in Mandarin |
title | Quantitative measurement of prosodic strength in Mandarin |
title_full | Quantitative measurement of prosodic strength in Mandarin |
title_fullStr | Quantitative measurement of prosodic strength in Mandarin |
title_full_unstemmed | Quantitative measurement of prosodic strength in Mandarin |
title_short | Quantitative measurement of prosodic strength in Mandarin |
title_sort | quantitative measurement of prosodic strength in mandarin |
topic | Linguistics |
work_keys_str_mv | AT kochanskig quantitativemeasurementofprosodicstrengthinmandarin AT shihc quantitativemeasurementofprosodicstrengthinmandarin AT jingh quantitativemeasurementofprosodicstrengthinmandarin |