Chiori Hori
- Phone: 617-621-7568
- Email:
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Position:
Research / Technical Staff
Senior Principal Research Scientist -
Education:
Ph.D., Tokyo Institute of Technology, 2002 -
Research Areas:
- Artificial Intelligence
- Speech & Audio
- Computer Vision
- Machine Learning
- Human-Computer Interaction
External Links:
Chiori's Quick Links
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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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Recent News & Events
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NEWS MERL presenting 8 papers at ICASSP 2022 Date: May 22, 2022 - May 27, 2022
Where: Singapore
MERL Contacts: Anoop Cherian; Chiori Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Tim K. Marks; Philip V. Orlik; Kuan-Chuan Peng; Pu (Perry) Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computer Vision, Signal Processing, Speech & AudioBrief- MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, and classification.
ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
- MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
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NEWS MERL work on scene-aware interaction featured in IEEE Spectrum Date: March 1, 2022
MERL Contacts: Anoop Cherian; Chiori Hori; Jonathan Le Roux; Tim K. Marks; Anthony Vetro
Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Speech & AudioBrief- MERL's research on scene-aware interaction was recently featured in an IEEE Spectrum article. The article, titled "At Last, A Self-Driving Car That Can Explain Itself" and authored by MERL Senior Principal Research Scientist Chiori Hori and MERL Director Anthony Vetro, gives an overview of MERL's efforts towards developing a system that can analyze multimodal sensing information for highly natural and intuitive interaction with humans through context-dependent generation of natural language. The technology recognizes contextual objects and events based on multimodal sensing information, such as images and video captured with cameras, audio information recorded with microphones, and localization information measured with LiDAR.
Scene-Aware Interaction for car navigation, one target application that the article focuses on, will provide drivers with intuitive route guidance. Scene-Aware Interaction technology is expected to have wide applicability, including human-machine interfaces for in-vehicle infotainment, interaction with service robots in building and factory automation systems, systems that monitor the health and well-being of people, surveillance systems that interpret complex scenes for humans and encourage social distancing, support for touchless operation of equipment in public areas, and much more. MERL's Scene-Aware Interaction Technology had previously been featured in a Mitsubishi Electric Corporation Press Release.
IEEE Spectrum is the flagship magazine and website of the IEEE, the world’s largest professional organization devoted to engineering and the applied sciences. IEEE Spectrum has a circulation of over 400,000 engineers worldwide, making it one of the leading science and engineering magazines.
- MERL's research on scene-aware interaction was recently featured in an IEEE Spectrum article. The article, titled "At Last, A Self-Driving Car That Can Explain Itself" and authored by MERL Senior Principal Research Scientist Chiori Hori and MERL Director Anthony Vetro, gives an overview of MERL's efforts towards developing a system that can analyze multimodal sensing information for highly natural and intuitive interaction with humans through context-dependent generation of natural language. The technology recognizes contextual objects and events based on multimodal sensing information, such as images and video captured with cameras, audio information recorded with microphones, and localization information measured with LiDAR.
See All News & Events for Chiori -
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Research Highlights
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MERL Publications
- , "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022, pp. 7732-7736.BibTeX TR2022-019 PDF
- @inproceedings{Shah2022apr,
- author = {Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Marks, Tim K. and Le Roux, Jonathan and Hori, Chiori},
- title = {Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2022,
- pages = {7732--7736},
- month = apr,
- publisher = {IEEE},
- issn = {1520-6149},
- isbn = {978-1-6654-0540-9},
- url = {https://www.merl.com/publications/TR2022-019}
- }
- , "At Last, A Self-Driving Car That Can Explain Itself", IEEE Spectrum, March 2022.BibTeX IEEE Spectrum
- @article{Hori2022mar,
- author = {Hori, Chiori and Vetro, Anthony},
- title = {At Last, A Self-Driving Car That Can Explain Itself},
- journal = {IEEE Spectrum},
- year = 2022,
- month = mar,
- url = {https://spectrum.ieee.org/at-last-a-self-driving-car-that-can-explain-itself}
- }
- , DSTC10-AVSD Submission System with Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning, February 2022.BibTeX TR2022-025 PDF
- @book{Shah2022feb,
- author = {Shah, Ankit Parag and Hori, Takaaki and Le Roux, Jonathan and Hori, Chiori},
- title = {DSTC10-AVSD Submission System with Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning},
- year = 2022,
- month = feb,
- url = {https://www.merl.com/publications/TR2022-025}
- }
- , "Overview of Audio Visual Scene-Aware Dialog with Reasoning Track for Natural Language Generation in DSTC10", The 10th Dialog System Technology Challenge Workshop at AAAI, February 2022.BibTeX TR2022-016 PDF
- @inproceedings{Hori2022feb,
- author = {Hori, Chiori and Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Le Roux, Jonathan and Marks, Tim K.},
- title = {Overview of Audio Visual Scene-Aware Dialog with Reasoning Track for Natural Language Generation in DSTC10},
- booktitle = {The 10th Dialog System Technology Challenge Workshop at AAAI},
- year = 2022,
- month = feb,
- url = {https://www.merl.com/publications/TR2022-016}
- }
- , "(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering", AAAI Conference on Artificial Intelligence, DOI: 10.1609/aaai.v36i1.19922, February 2022, pp. 444-453.BibTeX TR2022-014 PDF Video Presentation
- @inproceedings{Cherian2022feb,
- author = {Cherian, Anoop and Hori, Chiori and Marks, Tim K. and Le Roux, Jonathan},
- title = {(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering},
- booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
- year = 2022,
- pages = {444--453},
- month = feb,
- doi = {10.1609/aaai.v36i1.19922},
- url = {https://www.merl.com/publications/TR2022-014}
- }
- , "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022, pp. 7732-7736.
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Videos
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MERL Issued Patents
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Title: "System and Method for a Dialogue Response Generation System"
Inventors: Hori, Chiori; Cherian, Anoop; Marks, Tim; Hori, Takaaki
Patent No.: 11,264,009
Issue Date: Mar 1, 2022 -
Title: "Scene-Aware Video Dialog"
Inventors: Geng, Shijie; Gao, Peng; Cherian, Anoop; Hori, Chiori; Le Roux, Jonathan
Patent No.: 11,210,523
Issue Date: Dec 28, 2021 -
Title: "Method and System for Multi-Label Classification"
Inventors: Hori, Takaaki; Hori, Chiori; Watanabe, Shinji; Hershey, John R.; Harsham, Bret A.; Le Roux, Jonathan
Patent No.: 11,086,918
Issue Date: Aug 10, 2021 -
Title: "Position Estimation Under Multipath Transmission"
Inventors: Kim, Kyeong-Jin; Orlik, Philip V.; Hori, Chiori
Patent No.: 11,079,495
Issue Date: Aug 3, 2021 -
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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Title: "System and Method for a Dialogue Response Generation System"
