Title :
Acoustic noise reduction by two dimensional spectral smoothing and spectral amplitude transformation
Author :
Ariki, Y. ; Kajimoto, K. ; Sakai, T.
Author_Institution :
Kyoto University, Kyoto, Japan
Abstract :
We will describe a noise reduction method which diffuses and suppresses the noise component, while concentrating and enhancing speech formant information. Two Dimensional Spectral Smoothing (TDSS) is applied over a time sequence of spectral envelope to diffuse noise and concentrate formant information. After consonant enhancement, Non-linear Spectral Amplitude Transformation (NSAT) is carried out to further suppress the noise component and enhance formant information. This noise reduction method has proven to be superior to the conventional frequency subtraction method.
Keywords :
Acoustic noise; Cepstral analysis; Noise level; Noise reduction; Signal to noise ratio; Smoothing methods; Speech analysis; Speech enhancement; Speech synthesis; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1169119