Name
Title | ||
|---|---|---|
Improved Bases Selection in Acoustic Model Interpolation for Fast On-Line Adaptation. |
Abstract | ||
|---|---|---|
This work presents a novel bases selection approach for acoustic model interpolation based fast on-line adaptation. The proposed approach employs a correlation based similarity measure in the supervector domain (derived by concatenating the Gaussian mean parameters of the adapted models) for the selection of bases. This approach is found to greatly reduce the computational complexity in comparison... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2306451 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Adaptation models,Interpolation,Dictionaries,Acoustics,Computational modeling,Context,Data models | Data modeling,Similarity measure,Pattern recognition,Computer science,Interpolation,Speaker recognition,Gaussian,Artificial intelligence,Orthogonalization,Acoustic model,Computational complexity theory | Journal |
Volume | Issue | ISSN |
21 | 4 | 1070-9908 |
Citations | PageRank | References |
3 | 0.39 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Shahnawazuddin | 1 | 64 | 17.34 |
| Rohit Sinha | 2 | 231 | 30.54 |