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The Journal of The Korea Institute of Intelligent Transport Systems Vol.8 No.4 pp.28-32
자동차 잡음환경에서의 음성인식에 적용된 두 종류의 일반화된 감마분포 기반의 음성추정 알고리즘 비교
Comparison of Two Speech Estimation Algorithms Based on Generalized-Gamma Distribution Applied to Speech Recognition in Car Noisy Environment
Abstract
This paper compares two speech estimators under a generalized Gamma distribution for DFT-based single-microphone speech enhancement methods. For the speech enhancement, the noise estimation based on recursive averaging spectral values by spectral minimum noise is applied to two speech estimators based on the generalized Gamma distribution using or . The performance of two speech enhancement algorithms is measured by recognition accuracy of automatic speech recognition(ASR) in car noisy environment.
