Name
Abstract | ||
|---|---|---|
In this letter, we propose an approach to incorporate a statistical model for the voiced/unvoiced (V/UV) speech decision under background noise environments. Our approach consists of splitting the input noisy speech into two separate bands and applying a statistical model for each band. We compute and compare the likelihood ratio (LR) for each band based on the statistical model and estimated noise statistics for the V/UV decision. According to the simulation test, the proposed V/UV decision shows a better performance compared with the selectable mode vocoder (SMV) V/UV decision algorithm, particularly in clean and white noise environments. |
Year | Venue | Keywords |
|---|---|---|
2004 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | V/UV decision, statistical model, laplacian, CLLR |
Field | DocType | Volume |
Noise statistics,Background noise,Selectable Mode Vocoder,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Statistical model,Laplace operator | Journal | E87D |
Issue | ISSN | Citations |
12 | 1745-1361 | 2 |
PageRank | References | Authors |
0.39 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joon-Hyuk Chang | 1 | 14 | 2.10 |
| Soo KIM | 2 | 2 | 0.39 |
| Sanjit K. Mitra | 3 | 934 | 132.32 |
| Nonmembers | 4 | 74 | 11.76 |