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Chiori Hori

Chiori Hori
Chiori's Quick Links

  • Biography

    Chiori has been a member of MERL's research team since 2015. Her work is focused on spoken dialog and audio visual scene-aware dialog technologies toward human-robot communications. She's on the editorial board of "Computer Speech and Language" and is a technical committee member of "Speech and Language Processing Group" of IEEE Signal Processing Society. Prior to joining MERL, Chiori spent 8 years at Japan's National Institute of Information and Communication Technology (NICT), where she held the position of Research Manager of the Spoken Language Communication Laboratory. She also spent time researching at Carnegie Mellon and the NTT Communication Science Laboratories, prior to NICT.

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  • Research Highlights

  • Internships with Chiori

    • SA1473: Multi-modal scene understanding

      We are looking for a graduate student interested in helping advance the field of multi-modal scene understanding, with a focus on detailed captioning of a scene using natural language. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in deep learning for audio-visual, signal and natural language processing. The expected duration of the internship is 3-6 months, and start date is flexible.

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  • MERL Publications

    •  Hori, T., Moritz, N., Hori, C., Le Roux, J., "Transformer-based Long-context End-to-end Speech Recognition", Annual Conference of the International Speech Communication Association (Interspeech), October 2020.
      BibTeX TR2020-139 PDF
      • @inproceedings{Hori2020oct,
      • author = {Hori, Takaaki and Moritz, Niko and Hori, Chiori and Le Roux, Jonathan},
      • title = {Transformer-based Long-context End-to-end Speech Recognition},
      • booktitle = {Annual Conference of the International Speech Communication Association (Interspeech)},
      • year = 2020,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2020-139}
      • }
    •  Gao, P., Hori, C., Geng, S., Hori, T., Le Roux, J., "Multi-Pass Transformer for Machine Translation", arXiv, September 2020.
      BibTeX arXiv
      • @article{Gao2020sep,
      • author = {Gao, Peng and Hori, Chiori and Geng, Shijie and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Multi-Pass Transformer for Machine Translation},
      • journal = {arXiv},
      • year = 2020,
      • month = sep,
      • url = {http://arxiv.org/abs/2009.11382}
      • }
    •  Geng, S., Gao, P., Hori, C., Le Roux, J., Cherian, A., "Spatio-Temporal Scene Graphs for Video Dialo", arXiv, July 2020.
      BibTeX arXiv
      • @article{Geng2020jul,
      • author = {Geng, Shijie and Gao, Peng and Hori, Chiori and Le Roux, Jonathan and Cherian, Anoop},
      • title = {Spatio-Temporal Scene Graphs for Video Dialo},
      • journal = {arXiv},
      • year = 2020,
      • month = jul,
      • url = {https://arxiv.org/abs/2007.03848}
      • }
    •  Shi, L., Geng, S., Shuang, K., Hori, C., Liu, S., Gao, P., Su, S., "Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053595, April 2020, pp. 4412-4416.
      BibTeX TR2020-046 PDF
      • @inproceedings{Shi2020apr,
      • author = {Shi, Lei and Geng, Shijie and Shuang, Kai and Hori, Chiori and Liu, Songxiang and Gao, Peng and Su, Sen},
      • title = {Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {4412--4416},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053595},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-046}
      • }
    •  D’Haro, L.F., Yoshino, K., Hori, C., Marks, T., Polymenakos, L., Kummerfeld, J.K., Galley, M., Gao, X., "Overview of the seventh Dialog System Technology Challenge: DSTC7", Computer Speech and Language, DOI: 10.1016/j.csl.2020.101068, Vol. 62, March 2020.
      BibTeX TR2020-029 PDF
      • @article{D’Haro2020mar,
      • author = {D’Haro, Luis, Fernando and Yoshino, Koichiro and Hori, Chiori and Marks, Tim and Polymenakos, Lazaros and Kummerfeld, Jonathan, k. and Galley, Michel and Gao, Xiang},
      • title = {Overview of the seventh Dialog System Technology Challenge: DSTC7},
      • journal = {Computer Speech and Language},
      • year = 2020,
      • volume = 62,
      • month = mar,
      • doi = {10.1016/j.csl.2020.101068},
      • url = {https://www.merl.com/publications/TR2020-029}
      • }
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  • MERL Issued Patents

    • Title: "Method and System for Multi-Modal Fusion Model"
      Inventors: Hori, Chiori; Hori, Takaaki; Hershey, John R.; Marks, Tim
      Patent No.: 10,417,498
      Issue Date: Sep 17, 2019
    • Title: "Method and System for Training Language Models to Reduce Recognition Errors"
      Inventors: Hori, Takaaki; Hori, Chiori; Watanabe, Shinji; Hershey, John R.
      Patent No.: 10,176,799
      Issue Date: Jan 8, 2019
    • Title: "Method and System for Role Dependent Context Sensitive Spoken and Textual Language Understanding with Neural Networks"
      Inventors: Hori, Chiori; Hori, Takaaki; Watanabe, Shinji; Hershey, John R.
      Patent No.: 9,842,106
      Issue Date: Dec 12, 2017
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