This paper proposes effective energy feature normalization methods for robust speech recognition in noisy environments. We first develop an energy subtraction method and a modified method for the Log-energy Dynamic Range Normalization (ERN) using inverse function. We then present the hybrid method combining the energy subtraction and the modified ERN. Using Aurora2.0 database for representative evaluations, a significant performance improvement over the ERN method is demonstrated.
- Log-energy dynamic range normalization (ERN)
- Modified ERN
- Speech recognition
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering