Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition

Yoonjae Lee; Hanseok Ko

doi:10.1093/ietcom/e90-b.6.1508

Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition

Yoonjae Lee, Hanseok Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	1508-1511
Number of pages	4
Journal	IEICE Transactions on Communications
Volume	E90-B
Issue number	6
DOIs	https://doi.org/10.1093/ietcom/e90-b.6.1508
Publication status	Published - 2007 Jun

Keywords

Energy-subtraction
Log-energy dynamic range normalization (ERN)
Modified ERN
Speech recognition

ASJC Scopus subject areas

Software
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1093/ietcom/e90-b.6.1508

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