A novel sound enhancement algorithm based on modeling of Cochlea and its application in condition of low signal noise ratio environments

Author

Wa Gao ; Fusheng Zha ; Mantian Li ; Pengfei Wang ; Baoyu Song

Author_Institution

State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China

fYear

2014

fDate

3-6 Aug. 2014

Firstpage

1166

Lastpage

1170

Abstract

This paper develops a sound enhancement algorithm based on modelling of cochlea. By integrating the mechanical tuning and the neuron filtering in cochlea, the derivation process is discussed. For illustration, the developed algorithm is applied to the sound enhancement in the condition of low Signal Noise Ratio (SNR) environments. Compared with the fast wavelet transform method, the performances of proposed algorithm in output SNR, output maximum amplitude and computation time tested in LPC 2148 are remarkably improved and the effectiveness are clearly demonstrated.

Keywords

ear; filtering theory; signal processing; LPC 2148; cochlea modeling; computation time; derivation process; low signal noise ratio environments; mechanical tuning; neuron filtering; output SNR; output maximum amplitude; sound enhancement algorithm; 1f noise; Filtering; Gaussian noise; Signal to noise ratio; Wavelet transforms; Cochlea Modelling; Low SNR Environment; Sound Enhancement; Vibration System;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2014 IEEE International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4799-3978-7

Type

conf

DOI

10.1109/ICMA.2014.6885863

Filename

6885863