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Communication Dans Un Congrès Année : 2021

Automatic macro segmentation into interaction sequence: a silence-based approach for meeting structuring

Macro-segmentation automatique en séquence d'interaction : une approche basée sur les silences pour la structuration de réunions.

Résumé

Meetings are a common activity in professional contexts, and it remains difficult to analyze them because they are not always structured and people cut each other off (in a debate of ideas for example). A first step, to facilitate their analysis, is to segment the meeting into homogeneous zones at interaction level. To do so, we studied the typology of the nonspeech segments (pauses and silences) in order to determine the different sequences during a meeting. Indeed, information such as the frequency and lengths of the non-speech segments will be different during a presentation or a debate. In this article, we propose an original approach to segment meetings using only the non-speech segments. We apply a Voice Activity Detection (VAD) to find the non-speech segments from which a set of parameters are extracted to study the typology of silence segments.We then use a sliding window on the whole meeting and we apply an unsupervised approach on each of these windows. We have validated our approaches using purity and coverage metrics on part of the AMI corpus (38 meetings of about 28 minutes each). This approach is non-invasive and relies only on acoustic information and does not analyze speech content since moments containing speech, and potentially sensitive information, are not processed.
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Dates et versions

hal-03273029 , version 1 (28-06-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

  • HAL Id : hal-03273029 , version 1

Citer

Lionel Pibre, Sélim Mechrouh, Thomas Pellegrini, Julien Pinquier, Isabelle Ferrané. Automatic macro segmentation into interaction sequence: a silence-based approach for meeting structuring. Content-Based Multimedia Indexing (CBMI 2021), University of Lille - France, Jun 2021, Lille, France. ⟨hal-03273029⟩
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