Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition

摘要

In the past several years, we''ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible 'distortions' caused by factors irrelevant to phonetic classification in both training an