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.
a recognizer can provide good performance even in very noisy background conditions if the exact testing condition is used to provide the training material from which the reference patterns of the vocabulary are obtained, which is practically not always the case.