front end processing meaning in Chinese

前端处理

Lpc prediction error ; one - side autocorrelation sequence lpc ; acoustic front end processing ; canonical correlation based on compensation ; combination of features
线性预测误差单边自相关线性预测语音前端声学处理正则相关分析的谱变换补偿特征综合
There are difficulties in noisy speech recognition , especially low signal - to - noise rations are more difficult . this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words . they are lpc prediction error method , one - side auto - correlation sequence lpc , acoustic front end processing , canonical correlation based on compensation method , combination of features method and increase of poles method . the experimental results show that all the six techniques can improve effectively noisy speech recognition , and the best noisy speech recognition rate is above 80 % when snr 0db
它们是：线性预测误差法，单边自相关线性预测法，语音前端声学处理法，正则相关分析的谱变换补偿方法，特征综合法和同模极点增加法。实验结果表明，这6种方法都有效地提高了噪声环境中语音识别率，其中较好的方法在强噪声环境中信噪比为0db的语音识别率达到80 %以上，为信噪比较低的噪声环境中自动语音识别展现了美好前景。