Presentation information

Organized Session

Organized Session » OS-18

[2G5-OS-18a] 脳波から音声言語情報を抽出・識別・利用する(1/2)

Wed. Jun 15, 2022 3:20 PM - 4:40 PM Room G (Room G)

オーガナイザ:新田 恒雄(豊橋技術科学大学)[現地]、桂田 浩一(東京理科大学)、入部 百合絵(愛知県立大学)、田口 亮(名古屋工業大学)、篠原 修二(東京大学)

4:00 PM - 4:20 PM

[2G5-OS-18a-03] Mapping brain (EEG) signals onto a linguistic space

- reading a Rosetta stone of brain.

〇Tsuneo Nitta1, Kouichi Katsurada2, Yurie Iribe3, Ryou Taguchi4, Shuji Shinohara5, Goh Kawai6 (1. Toyohashi University of Technology, 2. Tokyo University of Science, 3. Aichi Prefectural University, 4. Nagoya Institute of Technology, 5. The University of Tokyo, 6. Tokyo University of Foreign Studies)

Keywords:brain science, EEG signal, linguistic representation

Recognition of words in speech imagery embedded in electroencephalogram (EEG) signals is one of the challenging technologies for non-invasive brain-computer-interface (BCI). We imitate the reading process of a Rosetta Stone and develop a decoding process of a language system from brain waves (EEG). Eigen-phones, that are extracted from line spectra of EEG signals observed at Broker area, are recognized as the linguistic representation of phones. In this report we present an approach to extract not only segmental information but also suprasegmental information, or accent information.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.