In general, the performance of existing speech recognition systems, whose designs are predicated on relatively noise-free conditions, degrades rapidly in the presence of a high level of adverse conditions.
these tests were repeated using the 2stream feature vector, in which we combined the acoustic distinctive cues to the classical MFCCs and their first derivatives to form two streams (MFCCEDE).