Japan
Research Article
Decoding Silent Speech in Japanese from Single Trial EEGS: Preliminary Results
Author(s): Yamaguchi H, Yamazaki T, Yamamoto K, Ueno S, Yamaguchi A, Ito T, Hirose S, Kamijo K, Takayanagi H, Yamanoi T and Fukuzumi SYamaguchi H, Yamazaki T, Yamamoto K, Ueno S, Yamaguchi A, Ito T, Hirose S, Kamijo K, Takayanagi H, Yamanoi T and Fukuzumi S
We propose a new scheme for speaker-dependent silent speech recognition systems (SSRSs) using both single-trial electroencephalograms (EEGs) scalp-recorded and speech signals measured during overtly and covertly speaking “janken” and “season” in Japanese. This scheme consists of two phases. The learning phase specifies a Kalman filter using spectrograms of the speech signals and independent components (ICs), whose equivalent current dipole source localization (ECDL) solutions were located mainly at the Broca’s area, of the EEGs during the actual speech. In case of the “season” task, the speech signals were transformed into vowel and consonant sequences, and these relationships were learned by hidden Markov model (HMM) with Gaussian mixture densities. The decoding phase predicts spectrograms for the silent “janken” and “season.. Read More»
DOI:
10.4172/jcsb.1000202
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report