Papers

Improving the Performance of the Minimum Statistics Noise Estimator for Single Channel Speech Enhancement

International Journal
~2005
작성자
dsp
작성일
2005-01-01 20:23
조회
332
Authors : Seung Kyun Ryu, Hong-Goo Kang, Sung-Kyo Jung, Dae Hee Youn

Year : 2005

Publisher / Conference : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Volume : E88-A

Page : 582-585

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 (SegSNR) and the spectral distance (SD).
전체 327
7 International Conference Min-seok Choi, Hong-goo Kang "An improved estimation of a priori speech absence probability for speech enhancement: in perspective of speech perception" in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005
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5 International Journal Seung Kyun Ryu, Hong-Goo Kang, Sung-Kyo Jung, Dae Hee Youn "Improving the Performance of the Minimum Statistics Noise Estimator for Single Channel Speech Enhancement" in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol.E88-A, pp.582-585, 2005
4 International Journal Sung-Kyo Jung, Kyung-Tae Kim, Young-Cheol Park, Hong-Goo Kang "A Fast Adaptive-codebook Search Algorithm for G.723.1 Speech Coder" in IEEE Signal Processing Letters, vol.12, issue 1, pp.75-78, 2005
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