Name
Title | ||
|---|---|---|
Discriminative Weight Training for a Statistical Model-Based Voice Activity Detection |
Abstract | ||
|---|---|---|
In this letter, we apply a discriminative weight training to a statistical model-based voice activity detection (VAD). In our approach, the VAD decision rule is expressed as the geometric mean of optimally weighted likelihood ratios (LRs) based on a minimum classification error (MCE) method. That approach is different from that of previous works in that different weights are assigned to each frequ... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LSP.2007.913595 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Speech enhancement,Frequency,Signal to noise ratio,Acoustic noise,Amplitude estimation,Discrete Fourier transforms,Testing,Gaussian noise,Solid modeling,Speech coding | Speech enhancement,Decision rule,Speech processing,Likelihood-ratio test,Pattern recognition,Computer science,Voice activity detection,Speech recognition,Artificial intelligence,Statistical model,Discriminative model,Geometric mean | Journal |
Volume | ISSN | Citations |
15 | 1070-9908 | 16 |
PageRank | References | Authors |
1.23 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang-Ick Kang | 1 | 25 | 4.81 |
| Q-Haing Jo | 2 | 26 | 2.32 |
| Joon-Hyuk Chang | 3 | 263 | 21.87 |