Abstract: Some examples include a system configured to present, in a user interface, text of a transcript of audio content. The user interface may further include a timeline representative of at least a portion of the audio content. The system may identify a plurality of keywords in the text, and may determine, based on a first keyword of the plurality of keywords, first data to associate with a time in the timeline in the user interface. In addition, the system may send, to the audio encoder, the first data to cause the audio encoder to embed the first data in the audio content at a timing corresponding to the time in the timeline to generate enhanced audio content.

Abstract: A computer-implemented method is presented of processing a data set to detect clusters of outlier data, and of using the processed data to automatically detect outlier events based on sensor data and to issue alerts when such events are detected. The outlier detection technique employs two infinite model mixtures, one tailored to detection of non-outlier data, and the other tailored to detection of outlier data. Clusters of data are created and labelled as non-outlier or outlier clusters according to which infinite mixture model generated the clusters.