Name
Title | ||
|---|---|---|
Multiple Acoustic Model-Based Discriminative Likelihood Ratio Weighting for Voice Activity Detection. |
Abstract | ||
|---|---|---|
In this letter, we propose a novel statistical voice activity detection (VAD) technique. The proposed technique employs probabilistically derived multiple acoustic models to effectively optimize the weights on frequency domain likelihood ratios with the discriminative training approach for more accurate voice activity detection. Experiments performed on various AURORA noisy environments showed tha... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2012.2204978 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Acoustics,Speech,Training,Probabilistic logic,Frequency domain analysis,Discrete Fourier transforms,Signal to noise ratio | Frequency domain,Weighting,Pattern recognition,Computer science,Voice activity detection,Speech recognition,Artificial intelligence,Discriminative model,Acoustic model | Journal |
Volume | Issue | ISSN |
19 | 8 | 1070-9908 |
Citations | PageRank | References |
13 | 0.95 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-joo Suh | 1 | 478 | 58.07 |
| Hoi-Rin Kim | 2 | 102 | 20.64 |