Name
Abstract | ||
|---|---|---|
Tone is a distinctive feature in Mandarin. This paper describes an attempt to automate the tone evaluation for continuous Mandarin speech. An HMM forced alignment based tone model is used to get tone score for Mandarin syllables. The competing model based approach is introduced to get tonal syllable score. Especially, we generate the syllable-based competing models by using the simplified linguistic knowledge based initial/final net. For the purpose of getting more objective tone evaluation, we integrate tonal syllable score and tone score together to acquire the overall tone scoring results. The experimental results demonstrate that this proposed competing models based method gives an accurate tone evaluation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34595-1_26 | ADVANCES ON DIGITAL TELEVISION AND WIRELESS MULTIMEDIA COMMUNICATIONS |
Keywords | Field | DocType |
Tone evaluation,Competing models,Linguistic knowledge,speech recognition | Computer science,Speech recognition,Syllable,Distinctive feature,Hidden Markov model,Mandarin Chinese | Conference |
Volume | ISSN | Citations |
331 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Qu | 1 | 103 | 10.67 |
| Yue Lu | 2 | 1617 | 101.51 |
| Wang, P.S.P. | 3 | 33 | 10.07 |
| Xin He | 4 | 80 | 28.00 |