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

Yoonjae Lee, Hanseok Ko

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)1508-1511
Number of pages4
JournalIEICE Transactions on Communications
VolumeE90-B
Issue number6
DOIs
Publication statusPublished - 2007 Jun 1

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Speech recognition
Compensation and Redress

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Software

Cite this

Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition. / Lee, Yoonjae; Ko, Hanseok.

In: IEICE Transactions on Communications, Vol. E90-B, No. 6, 01.06.2007, p. 1508-1511.

Research output: Contribution to journalArticle

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