The problem of stress assignment is to identify which syllables are phonetically more prominent than the others in a word. It is not only of theoretical interests to linguists but also very important to Text-to-Speech systems in terms of both accuracy and naturalness of pronunciation. Besides providing an in-depth survey of existing stress assignment algorithms in the fields of linguistics and speech generation, this thesis presents a ranking approach to stress assignment for both letters and phonemes. The final system is language independent and clearly outperforms all previous systems. When combined with a current state of art Letter-to-Phoneme system, error rate in stress assignment is reduced by up to 40%
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/481 |
| Date | 11 1900 |
| Creators | Dou, Qing |
| Contributors | Greg Kondrak(Computing Science), Benjamin V. Tucker (Linguistics), Davood Rafiei(Computing Science) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 546130 bytes, application/pdf |
| Relation | ACL(2009) |
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