Paper Info
Title
Prometheus: An Intelligent Mobile Voice Meeting Minutes System
Abstract
In this paper, we focus on designing and developing ProMETheus, an intelligent system for meeting minutes generated from audio data. The first task in ProMETheus is to recognize the speakers from noisy audio data. Speaker recognition algorithm is used to automatically identify who is speaking according to the speech in an audio data. Naturally, speech recognition will transcribe speakers' audio to text so that ProMETheus can generate the complete meeting text with speakers' name chronologically. In order to show the subject of the meeting and the agreed action, we use text summarization algorithm that can extract meaningful key phrases and summary sentences from the complete meeting text. In addition, sentiment analysis for meeting text of different speakers can make the agreed action more humane due to calculating the relevance score of each course by the sentiment and attitude in text tone. The ProMETheus is capable of accurately summarizing the meeting and analyzing the agreed action. Our robust system is evaluated on a real-world audio meeting dataset that involves multiple speakers in each meeting session.
Year
DOI
Venue
2018
10.1145/3286978.3286995
PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018)
Keywords
Field
DocType
meeting minutes, speaker recognition, speech recognition, meeting text, text summarization, sentiment analysis
Automatic summarization,Computer science,Sentiment analysis,Computer network,Speaker recognition,Natural language processing,Artificial intelligence
Conference
Citations 
PageRank 
References 
1
0.36
21
Authors
8
Name
Order
Citations
PageRank
Hui Liu1302.22
Xin Wang2587177.85
Yuheng Wei321.37
Wei Shao43911.16
Jonathan Liono5114.95
Flora Dilys Salim612629.67
Bo Deng713.74
Junzhao Du813115.61