SporTran is a Python utility designed to estimate generic transport coefficients in extended systems, based on the Green-Kubo theory of linear response and recently introduced cepstral analysis current time series generated by molecular dynamics simulations. can be applied univariate as well multivariate series. Cepstral requires minimum discretion from user, that it weakly depends two paramete...

Autocorrelation domain is a proper domain for clean speech signal and noise separation. In this paper, a method is proposed to decrease effects of noise on the clean speech signal, autocorrelation-based noise subtraction (ANS). Then to deal with the error introduced by assumption that noise and clean speech signal are uncorrelated, two methods are proposed. Also to improve recognition rate of s...

近幾十年來,無數的學者先進對於此雜訊干擾問題提出了豐富眾多的演算法,略分成兩 大類別:強健性語音特徵參數表示法(robust speech feature representation)與語音模型調適 法(speech model adaptation),第一類別之方法主要目的在抽取不易受到外在環境干擾下 而失真的語音特徵參數,或從原始語音特徵中儘量削減雜訊造成的效應,比較知名的方 法有:倒頻譜平均值與變異數正規化法 (cepstral mean and variance normalization, CMVN)[1]、倒頻譜統計圖正規化法(cepstral histogram normalization, CHN)[2]、倒頻譜平 均值與變異數正規化結合自動回歸動態平均濾波器法(cepstral mean and variance normalization plus auto-r...

In this paper we describe and compare the performance of a series of cepstrum-based procedures that enable the CMU SPHINX-II speech recognition system to maintain a high level of recognition accuracy over a wide variety of acoustical environments. We describe the MFCDCN algorithm, an environment-independent extension of the efficient SDCN and FCDCN algorithms developed previously. We compare th...