Adaptive regularized spectral reduction for stabilizing ill-conditioned bone-conducted speech signals

Bone-conducted (BC) speech signals are inherently challenging to analyze due to their wide frequency range, which leads to ill-conditioning in numerical analysis and linear prediction (LP) techniques. This ill-conditioning is primarily caused by the expansion of eigenvalues, which complicates the st...

Description complète

Détails bibliographiques

Auteurs principaux:	Kanwar Muhammad Afaq, Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2025-05-01
Collection:	PeerJ Computer Science
Sujets:	Spectral compression Regularization method Ill-conditioning improvement Speech signal analysis Bone-conducted voice signals
Accès en ligne:	https://peerj.com/articles/cs-2906.pdf
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!