From: Exploiting contextual information for prosodic event detection using auto-context
Reference | Corpus | Domain | Model | Class | Pitch accent | Boundary |
---|---|---|---|---|---|---|
 |  |  |  |  | accuracy (%) | accuracy (%) |
[4] | TTS and BN | Word | Prosodic context-dependent | Binary | 82.8 | - |
 |  |  | HMM |  |  |  |
[5] | BURSC | Word, syllable | CHMM | Binary | 72.0 | 77.3 |
 |  |  |  |  | 74.0 | 86.0 |
[14] | BURSC | Syllable | GMM | Binary | 77.3 | 68.2 |
[7] | BURSC | Syllable | Decision tree and | Binary | 84.0 | 71.0 |
 |  |  | n-gram language model |  |  |  |
[8] | BURSC | Syllable | NN and | Binary | 80.1 | 89.6 |
 |  |  | n-gram language model |  |  |  |
[9] | BURSC | Syllable | NN | Binary | 83.5 | 84.8 |
[10] | BURSC | Syllable | SVM | Binary | 85.7 | - |
[6] | BURSC | Syllable | Adaboost CART | Four | 84.7 | - |
[15] | BURSC | Word | MaxEnt | Binary | 80.1 | 82.7 |
[11] | BURSC | Syllable | CRF | Binary, four | 79.5 77.1 | 92.4 |