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Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Abstract. This paper proposes an analysis technique for wide-band audio applications based on the predictability of the temporal evolution of Quadrature Mirror Filter (QMF) sub-ban...
This paper outlines first the BET method for task-based evaluation of meeting browsers. ‘Observations of interest’ in meetings are empirically determined by neutral observers ...
Andrei Popescu-Belis, Philippe Baudrion, Mike Flyn...
Abstract. This article presents an ego-centric approach for indexing and browsing meetings. The method considers two concepts: meetings’ data alignment with personal information ...
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Abstract. In [1], we presented a method for automatic detection of action items from natural conversation. This method relies on supervised classification techniques that are trai...