@inproceedings{fb0e2bc34c8d4fb68e49b7f57f27720f,
title = "A novel sound enhancement algorithm based on modeling of Cochlea and its application in condition of low signal noise ratio environments",
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 = "Cochlea Modelling, Low SNR Environment, Sound Enhancement, Vibration System",
author = "Wa Gao and Fusheng Zha and Mantian Li and Pengfei Wang and Baoyu Song",
year = "2014",
doi = "10.1109/ICMA.2014.6885863",
language = "英语",
isbn = "9781479939787",
series = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
publisher = "IEEE Computer Society",
pages = "1166--1170",
booktitle = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
address = "美国",
note = "11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 ; Conference date: 03-08-2014 Through 06-08-2014",
}