@inproceedings{chiba-higashinaka-2025-incorporating,
    title = "Incorporating Dialogue State Tracking into {J}apanese Full-duplex Task-oriented Spoken Dialogue Model",
    author = "Chiba, Yuya  and
      Higashinaka, Ryuichiro",
    editor = "Inui, Kentaro  and
      Sakti, Sakriani  and
      Wang, Haofen  and
      Wong, Derek F.  and
      Bhattacharyya, Pushpak  and
      Banerjee, Biplab  and
      Ekbal, Asif  and
      Chakraborty, Tanmoy  and
      Singh, Dhirendra Pratap",
    booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
    month = dec,
    year = "2025",
    address = "Mumbai, India",
    publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.findings-ijcnlp.49/",
    pages = "829--836",
    ISBN = "979-8-89176-303-6",
    abstract = "Full-duplex spoken dialogue models, which process audio input and output simultaneously, have been actively studied for their ability to naturally model turn-taking and non-verbal phenomena in addition to generating responses. Although these models enable natural conversational flow, they lack mechanisms for language understanding and dialogue management, making them difficult to apply to task-oriented dialogue systems. We propose a method for incorporating dialogue state tracking in task-oriented dialogue into Moshi, aiming to achieve a multi-channel, full-duplex task-oriented spoken dialogue model. We evaluated the proposed method on JMultiWOZ, a benchmark corpus for Japanese task-oriented dialogue, focusing on dialogue state tracking and response generation."
}