Chiori Hori

Chiori Hori
  • 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.

  • News & Events

    •  EVENT   MERL is a Proud Sponsor of the Grace Hopper Celebration 2018!
      Date: Wednesday, September 26, 2018 - Friday, September 28, 2018
      MERL Contacts: Chiori Hori; Elizabeth Phillips
      Location: Houston, Texas
      Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
      Brief
      • "MERL, in partnership with Mitsubishi Electric was a Gold Sponsor of the Grace Hopper Celebration 2018 (GHC18) held in Houston, TX on September 26-28th. Presented by AnitaB.org and the Association for Computing Machinery, this is world's largest gathering of women technologists. Chiori Hori and Elizabeth Phillips from MERL, and Yoshiyuki Umei, Jared Baker and Lien Randle from MEUS, proudly represented Mitsubishi Electric at the recruiting expo, that drew over 20,000 female technologists this year.
    •  
    •  NEWS   Chiori Hori elected to IEEE Technical Committee on Speech and Language Processing
      Date: January 31, 2018
      MERL Contact: Chiori Hori
      Research Area: Speech & Audio
      Brief
      • Chiori Hori has been elected to serve on the Speech and Language Processing Technical Committee (SLTC) of the IEEE Signal Processing Society for a 3-year term.

        The SLTC promotes and influences all the technical areas of speech and language processing such as speech recognition, speech synthesis, spoken language understanding, speech to speech translation, spoken dialog management, speech indexing, information extraction from audio, and speaker and language recognition.
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  • Research Highlights

  • Internships with Chiori

    • SA1246: Audio Visual Semantic Understanding

      MERL is looking for an intern to work on fundamental research in the area of audiovisual semantic understanding for scene-aware dialog technologies by combining end-to-end dialog and video scene understanding technologies. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in one or more of video captioning/description, end-to-end conversation modeling and natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months.

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  • MERL Publications

    •  Hori, C., Alamri, H., Wang, J., Wichern, G., Hori, T., Cherian, A., Marks, T.K., Cartillier, V., Lopes, R., Das, A., Essa, I., Batra, D., Parikh, D., "End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features", arXiv, July 13, 2018.
      BibTeX Download PDFAbout TR2018-085
      • @techreport{MERL_TR2018-085,
      • author = {Hori, C. and Alamri, H. and Wang, J. and Wichern, G. and Hori, T. and Cherian, A. and Marks, T.K. and Cartillier, V. and Lopes, R. and Das, A. and Essa, I. and Batra, D. and Parikh, D.},
      • title = {End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR2018-085},
      • month = jul,
      • year = 2018,
      • url = {http://www.merl.com/publications/TR2018-085/}
      • }
    •  Alamri, H., Cartillier, V., Lopes, R., Das, A., Wang, J., Essa, I., Batra, D., Parikh, D., Cherian, A., Marks, T.K., Hori, C., "Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7", arXiv, July 12, 2018.
      BibTeX Download PDFAbout TR2018-069
      • @techreport{MERL_TR2018-069,
      • author = {Alamri, H. and Cartillier, V. and Lopes, R. and Das, A. and Wang, J. and Essa, I. and Batra, D. and Parikh, D. and Cherian, A. and Marks, T.K. and Hori, C.},
      • title = {Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR2018-069},
      • month = jul,
      • year = 2018,
      • url = {http://www.merl.com/publications/TR2018-069/}
      • }
    •  Hori, C., Hori, T., "End-to-end Conversation Modeling Track in DSTC6", Dialog System Technology Challenges, December 2017.
    •  Hori, C., Hori, T., Marks, T.K., Hershey, J.R., "Early and Late Integration of Audio Features for Automatic Video Description", IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), DOI: 10.1109/ASRU.2017.8268968, December 2017.
    •  Hori, C., Hori, T., Lee, T.-Y., Zhang, Z., Harsham, B.A., Sumi, K., Marks, T.K., Hershey, J.R., "Attention-Based Multimodal Fusion for Video Description", IEEE International Conference on Computer Vision (ICCV), DOI: 10.1109/ICCV.2017.450, October 2017.
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  • MERL Issued Patents

    • 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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