MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS

Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silenc...

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Bibliographische Detailangaben
Hauptverfasser:	Britt, Richard A, Dwyer, Michael C, McMahon, Bruce K, Gallino, Jeffrey A, MacQueen, Roderick A, Sudd, Douglas J
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:	Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.