Hierarchical structure and word strength prediction of Mandarin prosody
We use Stem-ML to build an automatic learning system for Mandarin prosody that allows us to make quantitative measurements for prosodic strengths. Stem-ML is a phenomenological model of the muscle dynamics and planning process that controls the tension of the vocal folds. Because Stem-ML describes t...
| Hoofdauteurs: | , , |
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| Formaat: | Journal article |
| Taal: | English |
| Gepubliceerd in: |
Springer
2003
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| Onderwerpen: |
| _version_ | 1826298305335787520 |
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| author | Kochanski, G Shih, C Jing, H |
| author_facet | Kochanski, G Shih, C Jing, H |
| author_sort | Kochanski, G |
| collection | OXFORD |
| description | We use Stem-ML to build an automatic learning system for Mandarin prosody that allows us to make quantitative measurements for prosodic strengths. Stem-ML is a phenomenological model of the muscle dynamics and planning process that controls the tension of the vocal folds. Because Stem-ML describes the interactions between nearby tones and accents, we were able to use a highly constrained model with only one accent 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 the speech's fundamental frequency, f0. The result reveals strong alternating metrical patterns in words, and suggests that the speaker uses word strength to mark a hierarchy of sentence, clause, phrase, and word boundaries. |
| first_indexed | 2024-03-07T04:44:48Z |
| format | Journal article |
| id | oxford-uuid:d2df4c2c-ffe0-4453-9434-82e8fd5d8a3b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T04:44:48Z |
| publishDate | 2003 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:d2df4c2c-ffe0-4453-9434-82e8fd5d8a3b2022-03-27T08:07:16ZHierarchical structure and word strength prediction of Mandarin prosodyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d2df4c2c-ffe0-4453-9434-82e8fd5d8a3bLinguisticsEnglishOxford University Research Archive - ValetSpringer2003Kochanski, GShih, CJing, HWe use Stem-ML to build an automatic learning system for Mandarin prosody that allows us to make quantitative measurements for prosodic strengths. Stem-ML is a phenomenological model of the muscle dynamics and planning process that controls the tension of the vocal folds. Because Stem-ML describes the interactions between nearby tones and accents, we were able to use a highly constrained model with only one accent 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 the speech's fundamental frequency, f0. The result reveals strong alternating metrical patterns in words, and suggests that the speaker uses word strength to mark a hierarchy of sentence, clause, phrase, and word boundaries. |
| spellingShingle | Linguistics Kochanski, G Shih, C Jing, H Hierarchical structure and word strength prediction of Mandarin prosody |
| title | Hierarchical structure and word strength prediction of Mandarin prosody |
| title_full | Hierarchical structure and word strength prediction of Mandarin prosody |
| title_fullStr | Hierarchical structure and word strength prediction of Mandarin prosody |
| title_full_unstemmed | Hierarchical structure and word strength prediction of Mandarin prosody |
| title_short | Hierarchical structure and word strength prediction of Mandarin prosody |
| title_sort | hierarchical structure and word strength prediction of mandarin prosody |
| topic | Linguistics |
| work_keys_str_mv | AT kochanskig hierarchicalstructureandwordstrengthpredictionofmandarinprosody AT shihc hierarchicalstructureandwordstrengthpredictionofmandarinprosody AT jingh hierarchicalstructureandwordstrengthpredictionofmandarinprosody |