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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen-Yu Chiang Cheng-Chang Tang Hsiu-Min Yu Yih-Ru Wang Sin-Horng Chen |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Communication Engineering, National Chiao Tung University, Taiwan (Chen-Yu Chiang; Cheng-Chang Tang; Yih-Ru Wang; Sin-Horng Chen) || Language Center, Chung Hua University, Taiwan (Hsiu-Min Yu) |
| Abstract | In this paper, the prosody of a parallel multi-speaking rate Mandarin read speech corpus is investigated. The corpus contains four parallel speech datasets uttered by a female professional announcer with various speech rates (SRs) of 4.40 (fast), 3.82 (normal), 2.97 (median) and 2.45 (slow) syllables/second. By using the unsupervised joint prosody labeling and modeling (PLM) method proposed previously, the relationship between SR and various prosodic features, including pause duration, patterns of three high-level prosodic constituents, and the break labels, are investigated. The analyses reported in this study could be very informative in developing prosody generation mechanism for text-to-speech and prosody modeling for automatic speech recognition in various SRs. |
| Starting Page | 148 |
| Ending Page | 153 |
| File Size | 1423467 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424444007 |
| DOI | 10.1109/ICSDA.2009.5278360 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Strontium Speech analysis Databases Natural languages Hidden Markov models Speech synthesis Labeling Automatic speech recognition |
| Content Type | Text |
| Resource Type | Article |
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