Multiframe maximum a posteriori estimators for single‐microphone speech enhancement

Multiframe maximum a posteriori estimators for single‐microphone speech enhancement

Abstract Multiframe maximum a posteriori (MAP) estimators are applied to a single‐microphone noise reduction problem. Several attempts have been made to exploit the interframe correlation (IFC) between speech coefficients in the short‐time Fourier transform domain. In a noise‐reduction algorithm, al...

Full description

Bibliographic Details
Main Authors: Raziyeh Ranjbaryan, Hamid Reza Abutalebi
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Signal Processing
Subjects:
maximum likelihood estimation
microphones
signal denoising
speech enhancement
Wiener filters
Online Access:https://doi.org/10.1049/sil2.12045

Internet

https://doi.org/10.1049/sil2.12045

Similar Items