Name
Abstract | ||
|---|---|---|
This paper proposes a novel method for speech recognition. This is method based on the calculation of correlation coefficients of cepestrum by linear prediction (LP). The results of the method is compared with other methods. The real cepstrum is used to separate/estimate the spectral content of the speech from its pitch frequencies. Some notes regarding the efficiency of the processors used in the simulations are also concluded. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/3-540-45034-3_78 | IEA/AIE |
Keywords | Field | DocType |
speech recognition,novel method,cepstrum algorithm,spectral content,pitch frequency,linear prediction,real cepstrum,correlation coefficient | Correlation coefficient,Mel-frequency cepstrum,Computer science,Cepstrum,Speech recognition,Linear prediction,Fourier transform,Correlation,Fast Fourier transform,Spectral analysis | Conference |
Volume | ISSN | ISBN |
2718 | 0302-9743 | 3-540-40455-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anwar Al-Shrouf | 1 | 0 | 0.34 |
| Raed Abu Zitar | 2 | 87 | 10.95 |
| Ammer Al-Khayri | 3 | 0 | 0.34 |
| Mohmmed Abu Arqub | 4 | 0 | 0.34 |