Name
Title | ||
|---|---|---|
Discriminative likelihood score weighting based on acoustic-phonetic classification for speaker identification. |
Abstract | ||
|---|---|---|
In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification. The proposed method employs a discriminative weighting of frame-level log-likelihood scores with acoustic-phonetic classification in the Gaussian mixture model (GMM)-based speaker identification. Experiments performed on the Aurora noise-corrupted TIMIT database showed that the proposed approach provides meaningful performance improvement with an overall relative error reduction of 15.8% over the maximum likelihood-based baseline GMM approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/1687-6180-2014-126 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Discriminative training, Acoustic-phonetic classification, Score weighting, Speaker identification | Speaker identification,Weighting,Computer science,Maximum likelihood,Timit database,Artificial intelligence,Discriminative model,Pattern recognition,Speech recognition,Machine learning,Mixture model,Approximation error,Performance improvement | Journal |
Volume | Issue | ISSN |
2014 | 1 | 1687-6180 |
Citations | PageRank | References |
2 | 0.35 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-joo Suh | 1 | 478 | 58.07 |
| Hoi-Rin Kim | 2 | 102 | 20.64 |