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

Access to Document

10.1093/ietcom/e90-b.6.1508

Fingerprint Dive into the research topics of 'Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition'. Together they form a unique fingerprint.

Cite this

@article{9f664d3e506c4c918140c1a67c420b05,

title = "Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition",

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.",

keywords = "Energy-subtraction, Log-energy dynamic range normalization (ERN), Modified ERN, Speech recognition",

author = "Yoonjae Lee and Hanseok Ko",

year = "2007",

month = jun,

doi = "10.1093/ietcom/e90-b.6.1508",

language = "English",

volume = "E90-B",

pages = "1508--1511",

journal = "IEICE Transactions on Communications",

issn = "0916-8516",

publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",

number = "6",

}

TY - JOUR

T1 - Effective energy feature compensation using modified log-energy dynamic range normalization for robust speech recognition

AU - Lee, Yoonjae

AU - Ko, Hanseok

PY - 2007/6

Y1 - 2007/6

N2 - 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.

AB - 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.

KW - Energy-subtraction

KW - Log-energy dynamic range normalization (ERN)

KW - Modified ERN

KW - Speech recognition

UR - http://www.scopus.com/inward/record.url?scp=67650787216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650787216&partnerID=8YFLogxK

U2 - 10.1093/ietcom/e90-b.6.1508

DO - 10.1093/ietcom/e90-b.6.1508

M3 - Article

AN - SCOPUS:67650787216

VL - E90-B

SP - 1508

EP - 1511

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 6

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this