Name
Title | ||
|---|---|---|
Multi-pitch trajectory estimation of concurrent speech based on harmonic GMM and nonlinear kalman filtering |
Abstract | ||
|---|---|---|
This paper describes a multi-pitch tracking algorithm of 1-channel simultaneous multiple speech. The algo- rithm selectively carries out the two alternative processes at each frame: frame-independent-process and frame- dependent-process. The former is the one we have previ- ously proposed(6), that gives good estimates of the num- ber of speakers and F0s with a single-frame-processing. The latter corresponds to the topic mainly described in this paper, that recursively tracks F0s using nonlinear Kalman filtering. We tested our algorithm on simulta- neous speech signal data and showed higher performance than when the frame-independent-process was only used. |
Year | Venue | Keywords |
|---|---|---|
2004 | INTERSPEECH | kalman filter |
Field | DocType | Citations |
Alpha beta filter,Extended Kalman filter,Fast Kalman filter,Computer science,A priori and a posteriori,Harmonic,Speech recognition,Kalman filter,Invariant extended Kalman filter,Mixture model | Conference | 9 |
PageRank | References | Authors |
0.70 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takuya Nishimoto | 1 | 227 | 28.95 |
| Shigeki Sagayama | 2 | 1217 | 137.97 |
| Hirokazu Kameoka | 3 | 801 | 79.06 |