Improving the performance of the minimum statistics noise estimator for single channel speech enhancement

Seung Kyun Ryu; Hong Goo Kang; Sung Kyo Jung; Dae Hee Youn

doi:10.1093/ietfec/E88-A.2.582

Improving the performance of the minimum statistics noise estimator for single channel speech enhancement

Seung Kyun Ryu, Hong Goo Kang, Sung Kyo Jung, Dae Hee Youn

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper proposes an algorithm to improve the performance of the noise power spectrum estimation using the minimum statistics (MS). The minimum statistics noise estimator (MSNE) that is most efficient for speech enhancement often underestimates noise power when the signal characteristics changes abruptly. The proposed algorithm improves the accuracy of noise estimation by removing harmonic components of the speech signal. Simulation results verify that the performance of the proposed algorithm is better than that of the conventional algorithm in terms of the segmental SNR (S egS NR) and the spectral distance (SD).

Original language	English
Pages (from-to)	582-585
Number of pages	4
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E88-A
Issue number	2
DOIs	https://doi.org/10.1093/ietfec/E88-A.2.582
Publication status	Published - 2005

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1093/ietfec/E88-A.2.582

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abstract = "This paper proposes an algorithm to improve the performance of the noise power spectrum estimation using the minimum statistics (MS). The minimum statistics noise estimator (MSNE) that is most efficient for speech enhancement often underestimates noise power when the signal characteristics changes abruptly. The proposed algorithm improves the accuracy of noise estimation by removing harmonic components of the speech signal. Simulation results verify that the performance of the proposed algorithm is better than that of the conventional algorithm in terms of the segmental SNR (S egS NR) and the spectral distance (SD).",

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Improving the performance of the minimum statistics noise estimator for single channel speech enhancement

Abstract

All Science Journal Classification (ASJC) codes

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