Inferring stance in news broadcasts from prosodic-feature configurations

Preliminaries to a Study of Stance in News Broadcasts

Aspects of stance have significant potential for information retrieval and filtering. This technical report is intended primarily to motivate and document details of the data and annotations used in the work reported in Inferring Stance from Prosody [Ward et al., 2016a]. It describes the process of identifying 14 important aspects of stance, describes two radio-broadcast corpora for investigati...

Inferring Stance from Prosody

Speech conveys many things beyond content, including aspects of stance and attitude that have not been much studied. Considering 14 aspects of stance as they occur in radio news stories, we investigated the extent to which they could be inferred from prosody. By using time-spread prosodic features and by aggregating local estimates, many aspects of stance were at least somewhat predictable, wit...

Comparing lexical, acoustic/prosodic, structural and discourse features for speech summarization

We present results of an empirical study of the usefulness of different types of features in selecting extractive summaries of news broadcasts for our Broadcast News Summarization System. We evaluate lexical, prosodic, structural and discourse features as predictors of those news segments which should be included in a summary. We show that a summarization system that uses a combination of these...

Head movements, eyebrows, and phonological prosodic prominence levels in Stockholm Swedish news broadcasts

A Web Classifier for Semantic Classification Between News and Sports Broadcasts

Lately, lot of work has been done in the area of content-based audio classification. In this paper we experiment on audio classification between sports and news broadcasts using the Average Magnitude Difference Function as the feature extractor and an LVQ1 neural network as classifier. The method proves robust and the results are reliable and could be further utilized in an automated web classi...