title: Decision-directed speech power spectral density matrix estimation for multichannel speech enhancement.
abstract: In this letter, a multichannel decision-directed approach to estimate the speech power spectral density (PSD) matrix for multichannel speech enhancement is proposed. There have been attempts to build multichannel speech enhancement filters which depend only on the speech and noise PSD matrices, for which the accurate estimate of the clean speech PSD matrix is crucial for a successful noise reduction. In contrast to the maximum likelihood estimator which has been applied conventionally, the proposed decision-directed method is capable of tracking the time-varying speech characteristics more robustly and improves the noise reduction performance under various noise environments.
authors.affiliation: Corporate R&D Center, SK Telecom Co., Ltd., 65 Eulji-ro, Jung-gu, Seoul 04539, Korea ygjin@sk.com.
authors.forename: Yu Gwang
authors.initials: YG
authors.lastname: Jin
authors.affiliation: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju 61005, Korea jwshin@gist.ac.kr.
authors.forename: Jong Won
authors.initials: JW
authors.lastname: Shin
authors.affiliation: School of Electrical and Computer Engineering and Institute of New Media and Communications, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea nkim@snu.ac.kr.
authors.forename: Nam Soo
authors.initials: NS
authors.lastname: Kim
mesh_terms: D000162:Acoustics; D005583:Fourier Analysis; D006801:Humans; D008962:Models, Theoretical; D009038:Motion; D009622:Noise / Q000009:adverse effects*; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013060:Speech; D013068:Speech Production Measurement / Q000379:methods*; D014732:Vibration