| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10370347 | Speech Communication | 2013 | 13 Pages |
Abstract
⺠We propose a feature normalization method for robust speech recognition. ⺠It operates in a spectral domain intermediate between log and linear. ⺠We name our method q-logarithmic Spectral Mean Normalization (q-LSMN). ⺠It is based on non-extensive statistics in which additivity does not hold. ⺠It was better than CMN, MVN, and ETSI AFE in our experiments.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Hilman F. Pardede, Koji Iwano, Koichi Shinoda,