Name
Abstract | ||
|---|---|---|
The exact pitch(fundamental frequency) extraction is important in speech signal processing like speech recognition, speech analysis and synthesis. However the exact pitch extraction from speech signal is very difficult due to the effect of formant and transitional amplitude. So in this paper, the pitch is detected after the elimination of formant ingredients by flattening the spectrum in frequency region. The effect of the transition and change of phoneme is low in frequency region. In this paper we proposed the new flattening method of log spectrum and the performance was compared with LPC method and Cepstrum method. The results show the proposed method is better than conventional method. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11751588_114 | ICCSA |
Keywords | Field | DocType |
speech analysis,frequency region,speech recognition,pitch extraction detection,conventional method,speech signal,linear approximation,new flattening method,cepstrum method,speech signal processing,lpc method,spectrum,fundamental frequency | Speech processing,Signal processing,Pitch contour,Fundamental frequency,Audio time-scale/pitch modification,Computer science,Cepstrum,Speech recognition,Formant,Pitch detection algorithm | Conference |
Volume | ISSN | ISBN |
3981 | 0302-9743 | 3-540-34072-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keun-Wang Lee | 1 | 24 | 13.44 |
| Kwang Hyoung Lee | 2 | 0 | 1.35 |
| So Yeon Min | 3 | 6 | 3.69 |