3 accepted papers
Pattern classification systems have traditionally been trained using a set of labeled training data and subsequently evaluated using different testing data. The cost of labeling the training data is typically substantial. Online Human-In-The-Loop (HITL) algorithms present an alternate approach that…
Reference summaries for abstractive speech summarization require human annotation, which can be performed by listening to an audio recording or by reading textual transcripts of the recording. In this paper, we examine whether summaries based on annotators listening to the recordings differ from tho…
Voice type discrimination (VTD) is the task of automatically detecting speech produced in the same room as a recording device ("live speech") among other speech and non-speech noises, such as traffic noises or radio broadcasts ("distractor audio"). Existing work has described methods for performing…