Sociometry Based Multiparty Audio Recordings Segmentation
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This work presents and compare two approaches for the semantic segmentation of broadcast news: the first is based on Social Network Analysis, the second is based on Poisson Stochastic Processes. Preliminary experiments address the problem of segmenting aut ...
In this paper we investigate the possibility of improving the speech recognition performance of meeting recordings by using slides captured during the recording process. The key hypothesis exploited in this work is that both slides and speech carry correla ...
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 t ...
This paper presents two approaches for speaker role recognition in multiparty audio recordings. The experiments are performed over a corpus of 96 radio bulletins corresponding to roughly 19 hours of material. Each recording involves, on average, eleven spe ...
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 t ...
This paper presents experiments on the automatic recognition of roles in meetings. The proposed approach combines two sources of information: the lexical choices made by people playing different roles on one hand, and the Social Networks describing the int ...
This paper presents an approach for the recognition of the roles played by speakers participating in radio programs. The approach is inspired by social cognition, i.e. by the way humans make sense of people they do not know, and it includes unsupervised sp ...
This paper shows how Social Network Analysis, the sociological domain studying the interaction between people in specific social environments, can be used to assign roles to different speakers in multiparty recordings. The experiments presented in this wor ...
This work presents and compare two approaches for the semantic segmentation of broadcast news: the first is based on Social Network Analysis, the second is based on Poisson Stochastic Processes. The experiments are performed over 27 hours of material: prel ...
In this dissertation I examine information processing in communities of product technology users – that is the question of how individual level information exchange in networks of personal relationships influences firm-level outcomes. I draw on research in ...