In this chapter, the importance of autocorrelation domain in robust feature extraction for speech recognition was discussed. To prove the effectiveness of this domain, some recently proposed methods for robust feature extraction against additive noise were discussed. These methods resulted in cepstral feature sets derived from the autocorrelation spectral domain. The DAS algorithm used the differentiated filtered autocorrelation spectrum of the noisy signal to extract cepstral parameters. We noted that similar to RAS and DPS, DAS can better.