Name
Abstract | ||
|---|---|---|
Regularization of linear prediction based mel-frequency cepstral coefficient (MFCC) extraction in speaker verification is considered. Commonly, MFCCs are extracted from the discrete Fourier transform (DFT) spectrum of speech frames. In this paper, DFT spectrum estimate is replaced with the recently proposed regularized linear prediction (RLP) method. Regularization of temporally weighted variants,... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2012.2184284 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Correlation,Speech,Feature extraction,Discrete Fourier transforms,Additive noise,Mel frequency cepstral coefficient,Accuracy | Mel-frequency cepstrum,Pattern recognition,Word error rate,Cepstrum,Robustness (computer science),Linear prediction,Speech recognition,Speaker recognition,Artificial intelligence,Discrete Fourier transform,Mathematics,Autocorrelation | Journal |
Volume | Issue | ISSN |
19 | 3 | 1070-9908 |
Citations | PageRank | References |
13 | 0.62 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cemal Hanilçi | 1 | 171 | 11.23 |
| Tomi Kinnunen | 2 | 1323 | 86.67 |
| Figen Ertas | 3 | 40 | 2.92 |
| Rahim Saeidi | 4 | 390 | 25.98 |
| Jouni Pohjalainen | 5 | 138 | 10.54 |
| Paavo Alku | 6 | 728 | 98.07 |