4 accepted papers
In the context of contact centers, customers' satisfaction after a conversation with an agent is a critical issue which has to be collected in order to detect problems and improve quality of service. Automatically predicting customer satisfaction directly from system logs, without any survey or manu…
This paper investigates single and cross-show diarization based on an unsupervised i-vector framework, on French TV and Radio corpora. This framework uses speaker clustering as a way to automatically select data from unlabeled corpora to train i-vector PLDA models. Performances between supervised an…
This paper addresses the task of assigning a title to topic segments automatically extracted from TV Broadcast News video recordings. We propose to associate a topic segment with the title of a newspaper article collected on the web at the same date. The task implies pairing newspaper articles and t…
In this work, we investigate how speaker-based information and lexical-based information can be fused efficiently for topic segmentation of spoken contents. While in recent work, we have proposed an early fusion scheme, so as to jointly model speaker and lexical distribution, we propose here a co-se…