Name
Title | ||
|---|---|---|
Mandarin Stress Detection Using Hierarchical Model Based Boosting Classification And Regression Tree |
Abstract | ||
|---|---|---|
Automatic stress detection is important for both speech understanding and natural speech synthesis. In this paper, we develop hierarchical model based boosting classification and regression tree (CART) to detect Mandarin stress by using acoustic evidence and text information. When comparing with previous proposed method at the same training and test sets, there are 2.52% and 1.09% absolute accuracy rate improvements respectively. We also analyze the differences between Mandarin stress detection and English pitch accent prediction, and prove some linguistic conclusions based on the large corpus in a different way. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IJCNN.2010.5596862 | 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 |
Keywords | Field | DocType |
regression analysis,regression tree,natural language processing,linguistics,speech processing,hierarchical model,predictive models,speech synthesis,support vector machines | Decision tree,Speech processing,Speech synthesis,Pattern recognition,Regression analysis,Computer science,Support vector machine,Speech recognition,Boosting (machine learning),Artificial intelligence,Hierarchical database model,Mandarin Chinese | Conference |
Volume | Issue | ISSN |
null | null | 2161-4393 |
Citations | PageRank | References |
2 | 0.45 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong-Jia Ni | 1 | 20 | 4.84 |
| Wenju Liu | 2 | 214 | 39.32 |
| Bo Xu | 3 | 241 | 36.59 |