Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations

Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    The effective handling of end-of-sentences and speaker alternations, both of which are frequently observed in multiparty conversations, in recurrent neural network language models (RNNLMs) is investigated. This kind of auxiliary information is represented as context cues and feature vectors. The former representation can be inserted directory into a transcription and treated as a word token, while the latter serves as auxiliary input to the neural networks. Experimental comparisons using multiparty conversation data, including the AMI meeting corpus, demonstrated that both representations contribute to improvement of the RNNLMs, and that dealing with the end-of-sentences is important, especially on the multiparty conversations.

    Original languageEnglish
    Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1263-1267
    Number of pages5
    Volume2018-February
    ISBN (Electronic)9781538615423
    DOIs
    Publication statusPublished - 2018 Feb 5
    Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
    Duration: 2017 Dec 122017 Dec 15

    Other

    Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
    CountryMalaysia
    CityKuala Lumpur
    Period17/12/1217/12/15

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    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Information Systems
    • Signal Processing

    Cite this

    Ashikawa, H., Tawara, N., Ogawa, A., Iwata, T., Kobayashi, T., & Ogawa, T. (2018). Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (Vol. 2018-February, pp. 1263-1267). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282217