Cohesiveness in teams is an essential part of ensuring the smooth running of task-oriented
groups. Research in social psychology and management has shown that good cohesion in …

Convolutional neural networks (CNN) are extensions to deep neural networks (DNN) which
are used as alternate acoustic models with state-of-the-art performances for speech …

The AMI and AMIDA projects are concerned with the recognition and interpretation of
multiparty meetings. Within these projects we have: developed an infrastructure for …

This paper describes the speech activity detection (SAD) system developed by the Patrol
team for the first phase of the DARPA RATS (Robust Automatic Transcription of Speech) …

In this paper, we give an overview of the AMIDA systems for transcription of conference and
lecture room meetings. The systems were developed for participation in the Rich …

This paper describes the AMI transcription system for speech in meetings developed in
collaboration by five research groups. The system includes generic techniques such as …

This paper addresses the task of automatically detecting outcomes of social interaction
patterns, using non-verbal audio cues in competitive role-playing games (RPGs). For our …

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 …

A challenge for speech recognition for voice-controlled household devices, like the Amazon
Echo or Google Home, is robustness against interfering background speech. Formulated as …

В монографии очерчен круг проблем, связанных с особенностями автоматического
анализа разговорной русской речи в интерактивных диалоговых системах. Описаны …