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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Raziyeh Ranjbaryan, Hamid Reza Abutalebi
Format: Artykuł
Język:English
Wydane: Wiley 2021-09-01
Seria:IET Signal Processing
Hasła przedmiotowe:
maximum likelihood estimation
microphones
signal denoising
speech enhancement
Wiener filters
Dostęp online:https://doi.org/10.1049/sil2.12045

Internet

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

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