Interscriber: Turning Dialogues into Actionable Insights

• Unité de recherche: INNOSUISSE
• Numéro de projet: 43446.1 IP-ICT
• Titre du projet anglais: Interscriber: Turning Dialogues into Actionable Insights

Description succincte (Allemand)

Interscriber: Turning Dialogues into Actionable Insights

Description succincte (Anglais)

Interscriber: Turning Dialogues into Actionable Insights

Résumé des résultats (Abstract) (Allemand)

We develop a new software system called Interscriber which implements advanced machine learning algorithms for automatically transcribing dialogues and interviews into written text. It has an easy-to-use editor for error corrections and can extract actionable insights from the transcripts.