The premise of this approach, however, is to reliably find reoccuring acoustic patterns in audio, which is challenging because of noise and pronunciation variance existing in the speech signal, as well as the difficulty of finding alignments with proper lengths corresponding to words well.
our primary goal in this paper is to empirically determine the extent to which acoustic information alone can effectively replace conventional speech recognition with or without simple prosodic feature detection within the multi-document speech summarization task.