Papers

A Two-channel Noise Estimator for Speech Enhancement in Highly Non-stationary Environment

International Journal
2011~2015
작성자
이진영
작성일
2010-08-01 14:30
조회
2015
Authors : Min-Seok Choi, Hong-Goo Kang

Year : 2011

Publisher / Conference : IEEE Transactions on Audio, Speech, and Language Processing

Volume : 19, issue 4

Page : 905-915

This paper proposes a two-channel noise estimator for speech enhancement in a highly nonstationary environment. The proposed noise estimator utilizes a spatial filter which has a capability of extracting noise information even in a speech presence region. We exploit a first-order recursion method with time-frequency varying smoothing coefficients to accurately estimate a noise power spectral density (PSD) in both slowly and rapidly varying regions. The smoothing coefficients are determined by measuring the nonstationarity factor of noise, e.g., degree of noise variation. The nonstationarity factor is derived through a statistical assumption of stationary background noise, which does not need any assumption on the type of nonstationary noise. Since the proposed method efficiently estimates the noise PSD both in stationary and nonstationary regions, the enhanced speech obtained by applying the proposed algorithm to the two-channel enhancement system shows superior performance to conventional approaches in various noise environments.
전체 365
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27 International Journal Min-Seok Choi, Hong-Goo Kang "A Two-channel Noise Estimator for Speech Enhancement in Highly Non-stationary Environment" in IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue 4, pp.905-915, 2011
26 International Journal Chi-Sang Jung, Moo Young Kim, Hong-Goo Kang "Selecting Feature Frames for Automatic Speaker Recognition Using Mutual Information" in IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue 6, pp.1332-1340, 2010
25 International Journal Bong-Jin Lee, Chi-Sang Jung, Jeung-Yoon Choi, Hong-Goo Kang "On the Importance of Transition Regions for Automatic Speaker Recognition" in IEICE Transactions on Information and Systems, vol.E93-D, No.1, pp.197-200, 2010