Presentation | 2011-01-28 Automatic Prediction of Accent Phrase Boundaries using Linguistic and F0 Information Asami YAMAMOTO, Kook CHO, Yoichi YAMASHITA, |
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Abstract(in English) | Speech synthesis techniques require speech data which is annotated with labels concerning prosodic information. This paper describes a method of automatic labeling of prosodic information focusing on accent phrase boundaries. A probabilistic model using both linguistic and prosodic information predicts the boundaries under the condition that the contents of speech and phoneme labels are given. We use CRF and multidimensional normal distribution for the linguistic probability model and the F0 probability model, respectively. We try to improve accuracy of the accent phrase boundary prediction using the cumulative mora count from the preceeding accent phrase boundary. The cumulative mora count is calculated by making hypotheses of the accent phrase boundaries. Evaluation experiments show that the cumulative mora count improves accuracy of accent phrase boundary prediction for read speech of ATR503 sentences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | accent phrase boundary / CRF / F0 pattern / cumulative mora count |
Paper # | SP2010-109 |
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Committee | SP |
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Conference Date | 2011/1/20(1days) |
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Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic Prediction of Accent Phrase Boundaries using Linguistic and F0 Information |
Sub Title (in English) | |
Keyword(1) | accent phrase boundary |
Keyword(2) | CRF |
Keyword(3) | F0 pattern |
Keyword(4) | cumulative mora count |
1st Author's Name | Asami YAMAMOTO |
1st Author's Affiliation | Graduate School of Science and Engineering, Ritsumeikan University() |
2nd Author's Name | Kook CHO |
2nd Author's Affiliation | College of Information Science and Engineering, Ritsumeikan University |
3rd Author's Name | Yoichi YAMASHITA |
3rd Author's Affiliation | College of Information Science and Engineering, Ritsumeikan University |
Date | 2011-01-28 |
Paper # | SP2010-109 |
Volume (vol) | vol.110 |
Number (no) | 401 |
Page | pp.pp.- |
#Pages | 6 |
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