Name
Abstract | ||
|---|---|---|
In this paper, we discuss how to model and train Mandarin prosody dependent acoustic model based on automatic prosody annotation corpus. Based on prosody annotation corpus, we first utilize our proposed methods to train prosody dependent and prosody independent tonal syllable model, and then use these models to get the mixed acoustic models. In this paper, we also utilize tone model to improve the correct rate of tonal syllable through revising the tone of the tonal syllable at certain significant level. When compared with the baseline system, the performance of our proposed mixed speech recognition system improves the correct rate of tonal syllable significantly. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IJCNN.2011.6033221 | IJCNN |
Keywords | Field | DocType |
mandarin prosody dependent acoustic model,speech recognition,prosody dependent mandarin speech recognition,automatic prosody annotation corpus,prosody independent tonal syllable model,tone model | Prosody,Annotation,Computer science,Speech recognition,Syllable,Baseline system,Mandarin speech recognition,Mandarin Chinese,Acoustic model | Conference |
Volume | Issue | ISSN |
null | null | 2161-4393 |
ISBN | Citations | PageRank |
978-1-4244-9635-8 | 1 | 0.39 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong-Jia Ni | 1 | 20 | 4.84 |
| Wenju Liu | 2 | 214 | 39.32 |
| Bo Xu | 3 | 147 | 13.98 |