| Paper: | SLP-P10.7 | ||
| Session: | Speech Synthesis II | ||
| Time: | Wednesday, May 17, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Prosody, Emotional, and Expressive Synthesis | ||
| Title: | Parsing Hierarchical Prosodic Structure for Mandarin Speech Synthesis | ||
| Authors: | Dawei Xu, Toshiba Research & Development Center, Japan; Haifeng Wang, Guohua Li, Toshiba Corporation, China; Takehiko Kagoshima, Toshiba Research & Development Center, Japan | ||
| Abstract: | In Mandarin prosody synthesis by means of hierarchical prosodic structure, the naturalness of the output is reliant largely on the parsing of the prosodic structure. We propose a machine learning approach to improve prosodic structure parsing in cases where full syntax parsing is neglected due to considerations concerning practicality. The novel aspect of our approach is the new attribute in the input vector, which is named connective degree and calculated from the occurrence rate of the punctuation marks between Chinese characters by referring to a large text corpus. The results of experiments show that connective degree yield makes a remarkable contribution to parsing of hierarchical Mandarin prosodic structure. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012