Sociometry based multiparty audio recordings summarization

Vinciarelli, A. (2006) Sociometry based multiparty audio recordings summarization. In: ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, 20-24 August 2006, pp. 1154-1157. (doi: 10.1109/ICPR.2006.1063)

Abstract

This paper shows how Social Network Analysis, the study of relational data in specific social environments, can be used to summarize multiparty radio news recordings. A social network is extracted from each recording and it is analyzed in order to detect the role of each speaker (e.g. anchorman, guest, etc.). The role is then used as a criterion to select the segments that are more representative of the recording content. The results show that the length of the recordings can be reduced by more than 90 percent while still preserving most of the information about their content.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Vinciarelli, Professor Alessandro
• Authors: Vinciarelli, A.
• College/School: College of Science and Engineering > School of Computing Science