[3P3-OS-20] 脳波から音声言語情報を抽出・識別する

[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.