SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System

Publication Year: 2020 Publication Type : JournalArticle


voice text transcription, the voice segment cut in the previous step is transcribed into a complete meeting text; The third part is the extraction of the meeting minutes, extracting meaningful key phrases and abstract sentences from the complete meeting text; The fourth part is the next work plan extraction, through the emotion recognition algorithm to filter out the negative emotion summary from the multiple meeting minutes, so as to show the next work plan of the meeting. By comparing and evaluating different baseline algorithms on real-world audio meeting datasets, experiments have proven that SmartMeeting can accurately summarize meetings and analyze agreed actions.


    author = {Hui Liu and Huan Liu and Xin Wang and Wei Shao and Xiao Wang and Junzhao Du and Jonathan Liono and Flora D. Salim},
    bibsource = {dblp computer science bibliography,},
    biburl = {},
    doi = {10.1007/s11036-019-01310-x},
    journal = {MONET},
    number = {2},
    pages = {521--536},
    timestamp = {Tue, 21 Apr 2020 01:00:00 +0200},
    title = {SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System},
    url = {},
    volume = {25},
    year = {2020}


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