Name
Abstract | ||
|---|---|---|
In this letter, generalized gamma distribution (G@CD) is introduced as a new statistical model of spectral distribution to be applied to the likelihood ratio test performed in voice activity detection (VAD). A gradient-based on-line algorithm is proposed to estimate the parameters of G@CD according to the maximum likelihood criterion. Experimental results show that the VAD algorithm implemented based on G@CD outperformed those adopting other parametric distributions. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.patrec.2006.11.015 | Pattern Recognition Letters |
Keywords | Field | DocType |
vad algorithm,new statistical model,generalized gamma distribution,parametric distribution,generalized gamma,statistical modeling,spectral distribution,voice activity detection,maximum likelihood criterion,gradient-based on-line algorithm,likelihood ratio test,43.72.+q,maximum likelihood,statistical model,gamma distribution | Parametric model,Pattern recognition,Likelihood-ratio test,Voice activity detection,Parametric statistics,Artificial intelligence,Statistical model,Gamma distribution,Estimation theory,Generalized gamma distribution,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 11 | Pattern Recognition Letters |
Citations | PageRank | References |
12 | 0.91 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong Won Shin | 1 | 215 | 21.85 |
| Joon-Hyuk Chang | 2 | 263 | 21.87 |
| Nam Soo Kim | 3 | 275 | 29.16 |