Speaker diarization is the task of determining “who spoke when?” in an audio or video
recording that contains an unknown amount of speech and also an unknown number of …

Audio diarization is the process of annotating an input audio channel with information that
attributes (possibly overlap**) temporal regions of signal energy to their specific sources …

When performing speaker diarization on recordings from meetings, multiple microphones of
different qualities are usually available and distributed around the meeting room. Although …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

In this paper, we present a spectral clustering approach to explore the possibility of
discovering structure from audio data. To apply the Ng-Jordan-Weiss (NJW) spectral …

This thesis shows research performed into the topic of speaker diarization for meeting
rooms. It looks into the algorithms and the implementation of an offline speaker …

Speech media, that is, digital audio and video containing spoken content, has blossomed in
recent years. Large collections are accruing on the Internet as well as in private and …

Speaker diarization is defined as the task of determining ldquowho spoke whenrdquo given
an audio track and no other prior knowledge of any kind. The following article shows how a …

With the increase in cheap commercially available sensors, recording meetings is becoming
an increasingly practical option. With this trend comes the need to summarize the recorded …

The automated extraction of semantically meaningful information from multi-modal data is
becoming increasingly necessary due to the escalation of captured data for archival. A novel …