Acoustic feature compensation based on decomposition of speech and noise for ASR in noisy environments

Hong Kook Kim, Richard C. Rose, Hong Goo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a set of acoustic feature pre-processing techniques that are applied to improving automatic speech recognition (ASR) performance on the Aurora 2 noisy speech recognition task. The principal contribution of this paper is an approach for cepstrum domain feature compensation in ASR which is motivated by techniques for decomposing speech and noise that were originally developed for noisy speech enhancement. This approach is applied in combination with other feature compensation algorithms to compensating ASR features obtained from a mel-filterbank cepstrum coefficient (MFCC) front-end. Performance comparisons are made with respect to the application of the minimum mean squared error log spectral amplitude estimator (MMSE-LSA) based speech enhancement algorithm prior to feature analysis. An experimental study is presented where the feature compensation approaches described in the paper are found to reduce ASR word error rate by as much as 31% relative to uncompensated features under simulated environmental and channel mismatched conditions.

Original languageEnglish
Title of host publicationEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
EditorsBorge Lindberg, Henrik Benner, Paul Dalsgaard, Zheng-Hua Tan
PublisherInternational Speech Communication Association
Pages421-424
Number of pages4
ISBN (Electronic)8790834100, 9788790834104
Publication statusPublished - 2001
Event7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark
Duration: 2001 Sep 32001 Sep 7

Publication series

NameEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Other

Other7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
CountryDenmark
CityAalborg
Period01/9/301/9/7

All Science Journal Classification (ASJC) codes

  • Communication
  • Linguistics and Language
  • Computer Science Applications
  • Software

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