Title :
Enhancement of Electronic artificial larynx speech by denoising
Author :
Haijun, Niu ; Wan Mingxi ; Supin, Waq
Author_Institution :
Dept. of Biomed. Eng., Xi´´an Jiaotong Univ., China
Abstract :
Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.
Keywords :
acoustic analysis; independent component analysis; signal denoising; speech enhancement; ICA; acoustic analysis; adaptive noise canceling; background noise reduction; electronic artificial larynx; independent component analysis; perceptual evaluation; radiation noise; speech denoising; speech enhancement; speech rehabilitation prosthesis; Acoustic noise; Background noise; Degradation; Independent component analysis; Larynx; Noise cancellation; Noise reduction; Prosthetics; Speech analysis; Speech enhancement;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1280747