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<mods ID="michael-2020-retico">
    <titleInfo>
        <title>Retico: An incremental framework for spoken dialogue systems</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Thilo</namePart>
        <namePart type="family">Michael</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-jul</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">1st virtual meeting</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper we present the newest version of retico - a python-based incremental dialogue framework to create state-of-the-art spoken dialogue systems and simulations. Retico provides a range of incremental modules that are based on services like Google ASR, Google TTS and Rasa NLU. Incremental networks can be created either in code or with a graphical user interface. In this demo we present three use cases that are implemented in retico: a spoken translation tool that translates speech in real-time, a conversation simulation that models turn-taking and a spoken dialogue restaurant information service.</abstract>
    <identifier type="citekey">michael-2020-retico</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.sigdial-1.6</url>
    </location>
    <part>
        <date>2020-jul</date>
        <extent unit="page">
            <start>49</start>
            <end>52</end>
        </extent>
    </part>
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