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Advanced Comb Filtering for Robust Speech Recognition

  • Jeong-Sik ParkEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

Abstract

This paper proposes a speech enhancement scheme that leads to significant improvements in recognition performance when used in the Automatic Speech Recognition (ASR) front-end. The proposed approach is based upon adaptive comb filtering. While adaptive comb filtering reduces noise components remarkably, it is rarely effective in reducing non-stationary noises due to its uniformly distributed frequency response. This paper proposes an advanced comb filtering technique that adjusts its spectral magnitude to the original speech, based on the gain modification function, an Minimum Mean Squared Error (MMSE) estimator.

Keywords

Advanced comb filtering Gain modification function Minimum mean squared error Robust speech recognition 

Notes

Acknowledgments

This work was supported by the NAP (National Agenda Project) of the Korea Research Council of Fundamental Science and Technology.

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of Intelligent Robot EngineeringMokwon UniversityDaejeonSouth Korea

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