JSAI2023

Presentation information

General Session

General Session » GS-1 Fundamental AI, theory

[3J1-GS-1] Fundamental AI, theory

Thu. Jun 8, 2023 9:00 AM - 10:40 AM Room J (B3)

座長:戸田 浩之(横浜市立大学) [現地]

9:40 AM - 10:00 AM

[3J1-GS-1-03] Extracting linguistic representation from speech-imagery EEG.

〇Tsuneo Nitta1, Junsei Horikawa1, Takuro Fukuda2, Kouichi Katsurada2, Daisuke Suzuki3, Yurie Iribe3, Ryo 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. Tokyo Denki University, 6. Tokyo University of Foreign Studies)

Keywords:Brain computer interface, EEG signal, linguistic representation

Speech imagined signal recognition from Electroencephalogram (EEG) is one of the challenging technologies for non-invasive brain-computer-interface (BCI). In this report we regard the representation of language as the difference of line spectra of syllables observed around Broker area and develop the method for extracting line spectra in EEG signal. The BCI research framework based on the extraction of language-representation, as well as vowels and consonants recognition using twenty one electrodes around Broker area, are presented.

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