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 …

A speaker diarization system based on an information theoretic framework is described. The
problem is formulated according to the information bottleneck (IB) principle. Unlike other …

This paper presents a theoretical framework to analyze the relative merits of the two most
general, dominant approaches to speaker diarization involving bottom-up and top-down …

Finding who spoke when in a collection of recordings, with speakers being uniquely
identified across the database, is a challenging task. In this scenario, reasonable computing …

Abstract System combination or fusion is a popular, successful and sometimes
straightforward means of improving performance in many fields of statistical pattern …

Performing speaker diarization while uniquely identifying the speakers in a collection of
audio recordings is a challenging task. Based on our previous work on speaker diarization …

In this thesis we investigate a non parametric approach to speaker diarization for meeting
recordings based on an information theoretic framework. The problem is formulated using …

Evaluation of speaker segmentation and diarization normally makes use of forgiveness
collars around ground truth speaker segment boundaries such that estimated speaker …

This paper focuses on the use of sequential speaker clustering of stereo audio documents to
obtain a classification of the different speech segments contained in those documents …

Most speaker diarization systems fit into one of two categories: bottom-up or top-down.
Bottom-up systems are the most popular but can sometimes suffer from instability from …