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Hierarchical structure and word strength prediction of Mandarin prosody

Abstract:

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 wor...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Author's Original

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Publisher copy:
10.1023/A:1021095805490

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Institution:
"Bell Laboratories, Luccent Technologies, Murray Hill, NJ, USA"
Role:
Author
More by this author
Institution:
"Bell Laboratories, Luccent Technologies, Murray Hill, NJ, USA"
Role:
Author
More by this author
Institution:
"Bell Laboratories, Luccent Technologies, Murray Hill, NJ, USA"
Role:
Author
Publisher:
Springer Publisher's website
Journal:
International Journal of Speech Technology Journal website
Volume:
6
Issue:
1
Pages:
33-43
Publication date:
2003-01-05
DOI:
EISSN:
1572-8110
ISSN:
1381-2416
URN:
uuid:d2df4c2c-ffe0-4453-9434-82e8fd5d8a3b
Local pid:
ora:1443
Language:
English
Keywords:
Subjects:

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