Publication

Sociometry Based Multiparty Audio Recordings Summarization

2006
Conference Papers

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.

Official source

https://infoscience.epfl.ch/entities/publication/bcad53b3-1329-449f-ac24-587dd98be047

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2006
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/bcad53b3-1329-449f-ac24-587dd98be047

About this result

Related concepts (12)

Social network analysis

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, meme spread, information circulation, friendship and acquaintance networks, peer learner networks, business networks, knowledge networks, difficult working relationships, collaboration graphs, kinship, disease transmission, and sexual relationships.

Social network

A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.

Relational model

The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, where all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.

Related publications (3)

Sociometry Based Multiparty Audio Recordings Summarization

Chat with Graph Search

Language-Integrated Recursive Queries

Social Network Analysis in Multimedia Indexing: Making Sense of People in Multiparty Recordings

Extending OWL with Explicit Dependency