On EMG Silent-speech Recognition Data Collection

Silent-speech interfaces and communications are expected and desired technologies, that currently providing only the command-set options. Transferring recognition technology from predefined set to extensible one took 40 years[1]-[2] and thousand-fold growth of paper number according to IEEE library in case of audible speech. This paper proposes the approach for collection of time marked silent-speech recognition data(mostly EMG) using audible speech recognition engines and predefined texts, without using predefined time-related markdown.