Open AccessRobust speech processing using local adaptive non‐linear filtering
Author(s) -
DiazRamirez Victor H.,
Kober Vitaly
Publication year - 2013
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2011.0206
Subject(s) - computer science , speech recognition , speech enhancement , intelligibility (philosophy) , speech processing , linear predictive coding , adaptive filter , signal processing , sliding window protocol , speech coding , signal (programming language) , robustness (evolution) , linear prediction , noise (video) , algorithm , artificial intelligence , noise reduction , window (computing) , digital signal processing , philosophy , biochemistry , chemistry , epistemology , image (mathematics) , gene , programming language , operating system , computer hardware
A local adaptive non‐linear algorithm for robust speech processing is proposed. The algorithm is based on calculation of the rank‐order statistics of an input speech signal over a sliding window. The algorithm is locally adaptive because it can vary the size and contents of a sliding window signal as well as an estimation function employed for recovering a clean speech signal from a noisy signal. The algorithm is able to improve the quality of a speech signal preserving its intelligibility and introducing only imperceptible musical noise. The performance of the adaptive algorithm for suppressing additive, impulsive and mixed noise in an input test speech signal is compared with that of existing speech enhancement algorithms in terms of several objective metrics.