Results (1)
Search Parameters:
Author/Affiliation: Akira ikutaOpen AccessArticle
9 Pages, 870 KB 
Noise Cancellation Algorithm Based on Air- and Bone-Conducted Speech Signals by Considering an Unscented Transformation Method
Abstract:
Noise control is essential when applying speech recognition in noisy environments such as factories. In this study, a signal processing for noise cancellation is proposed by using a noise-insensitive bone-conducted speech signal together with an air-conducted speech signal. The speech signal is generally expressed by a nonlinear model. The extended Kalman filter is very famous…
Read More(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Electronic Engineering (EEE))