DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues
In this paper, we present our minuting tool DeepCon, an end-to-end toolkit for minuting the multiparty dialogues of meetings. It provides technological support for (multilingual) communication and collaboration, with a specific focus on Natural Language Processing (NLP) technologies: Automatic Speech Recognition (ASR), Machine Translation (MT), Automatic Minuting (AM), Topic Modelling (TM) and Named Entity Recognition (NER). To the best of our knowledge, there is no such tool available. Further, this tool follows a microservice architecture, and we release the tool as open-source, deployed on Amazon Web Services (AWS). We release our tool open-source here http://www.deepcon.in.
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Tasks
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERspeech-recognitionSpeech RecognitionTranslationSimilar Papers 제목 키워드 기반
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