Name
Abstract | ||
|---|---|---|
The recognition of vowels in Chinese speech is very important for Chinese speech recognition and understanding. However, it is rather difficult and there has been no efficient method to solve it yet. In this paper, we propose a new approach to the recognition of Chinese vowels via the support vector machine (SVM) with the Mel-Frequency Cepstral Coefficients (MFCCs) as the vowel’s features. It is shown by the experiments that this method can reach a high recognition accuracy on the given vowels database and outperform the SVM with the Linear Prediction Coding Cepstral (LPCC) coefficients as the vowel’s features. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596981_118 | CIS (2) |
Keywords | Field | DocType |
support vector machine,chinese speech,chinese vowel,efficient method,vowels database,high recognition accuracy,new approach,chinese speech recognition,mel-frequency cepstral coefficients,linear prediction coding cepstral,speech recognition,mel frequency cepstral coefficient | Mel-frequency cepstrum,Radial basis function,Pattern recognition,Computer science,Support vector machine,Cepstrum,Linear prediction,Speech recognition,Linear prediction coding,Vowel,Artificial intelligence,Statistical analysis | Conference |
Volume | ISSN | ISBN |
3802 | 0302-9743 | 3-540-30819-9 |
Citations | PageRank | References |
3 | 0.48 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuhai Li | 1 | 244 | 20.68 |
| Jinwen Ma | 2 | 841 | 74.65 |
| Dezhi Huang | 3 | 7 | 2.39 |