Research in speech summarization -unlike its text-based counterpart -carries intrinsic difficulties, which draw their origins from the noisy nature of the data under consideration: imperfect ASR transcripts due to recognition errors, lack of proper segmentation, etc.
it also offers some advantages by making it possible to leverage extra-textual information such as emotion and other speaker states through an incorporation of prosodic knowledge into the summarization model.