Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging

Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging

Estimation of the noise power spectral density (PSD) plays a critical role in most existing single-channel speech enhancement algorithms. In this paper, we present a novel noise PSD tracking algorithm, which employs a log-spectral power minimum mean square error (MMSE) estimator. This method updates...

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Bibliographic Details
Main Authors: Qiquan Zhang, Mingjiang Wang, Yun Lu, Muhammad Idrees, Lu Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Acoustic noise
speech enhancement
noise PSD estimation
log-spectral
minimum mean-square error (MMSE) estimator
speech presence probability
Online Access:https://ieeexplore.ieee.org/document/8740919/

Internet

https://ieeexplore.ieee.org/document/8740919/

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