Joint Soft Threshold and Statistical Estimation for Speech Enhancement - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Joint Soft Threshold and Statistical Estimation for Speech Enhancement

Résumé

This paper presents a novel method for speech enhancement based on the combination of sigmoid shrinkage and bayesian estimator. The main idea is to apply a joint detection and estimation to noisy speech before using a standard minimum-mean-squared-error (MMSE) estimator. Hence, the proposed method can take advantage of two basic approaches for improving the quality of noisy speech. Experiments performed on stationary and non-stationary noisy speech signals show that the proposed approach is promising when compared to classical methods, in terms of objective and pseudo-subjective measurements.
Fichier principal
Vignette du fichier
PID5584289.pdf (221.54 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01893685 , version 1 (11-10-2018)

Identifiants

Citer

van Khanh Mai, Dominique Pastor, Abdeldjalil Aissa El Bey. Joint Soft Threshold and Statistical Estimation for Speech Enhancement. ISIVC 2018 : 9th International Symposium on Signal, Image, Video and Communications, Nov 2018, Rabat, Morocco. ⟨10.1109/ISIVC.2018.8709211⟩. ⟨hal-01893685⟩
51 Consultations
113 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More