Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation
Date Issued
2024
Author(s) USM
DOI
10.1109/TASLP.2024.3512187
Abstract
Voice inverse filtering methods aim at noninvasively estimating the glottal source information from the voice signal. These inverse filtering strategies typically rely on parametric models and variants of linear prediction for tuning the vocal tract filte
