Progressive memory-based parametric non-linear feature equalization
Luz García, Roberto Gemello, Franco Mana, Jose Carlos Segura · 2009
This paper analyzes the benefits and drawbacks of PEQ, a features normalization technique based on the parametric equalization of the MFCC parameters to match a reference probability distribution. Three evolutions of PEQ are presented as solutions to the limitations encountered. The effects of those proposed evolutions are studied on three speech corpora, namely WSJ0, AURORA-3 and HIWIRE cockpit database. Simple and more complex evaluation tasks with different mismatch conditions given by convolutional and/or additive noise and non-native speakers, are evaluated to analyze the improvements.