Title :
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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885863
