JSAI2019

Presentation information

Organized Session

Organized Session » [OS] OS-20

[3P3-OS-20] 脳波から音声言語情報を抽出・識別する

Thu. Jun 6, 2019 1:50 PM - 3:30 PM Room P (Front-left room of 1F Exhibition hall)

新田 恒雄(早稲田大学/豊橋技術科学大学)、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)

3:10 PM - 3:30 PM

[3P3-OS-20-05] BCI Studies on Extraction of Spoken Language representation from Speech Imagery EEG

〇Tsuneo Nitta1, KENTAROU FUKAI2, KOUICHI KATSURADA2, YURIE IRIBE3, RYOU TAGUCHI4, SHUNJI SUGIMOTO5, JUNSEI HORIKAWA5 (1. Waseda University, 2. Tokyo Science University, 3. Aichi Prefectural University, 4. Nagoya Institute of Technology, 5. Toyohashi University of Technology)

Keywords:BCI

Speech imagery, or silent speech, 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 at 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 several examples of syllable investigated using nine electrodes around Broker area, are presented.