Akinori Kawamura

TL;DR: In this paper, a handwriting recognition system is described, which consists of an input device having a handwriting input area and a recognition device configured to recognize the characters based on the strokes input by the input device, shapes of the strokes constructing two characters which are written successively and positional relations between or among the stroke constructing the two characters.

TL;DR: In this paper, the authors proposed a noise suppressing device which suppresses a noise signal in an input signal wherein the noise signal and a target signal are mixed together, and a switching part 109 which performs switching between the output signal of the noise suppression part 104 and the output signals of noise excess suppression part 105 according to the judgement result of a section judgement means.

TL;DR: In this article, an electronic device includes a touch panel, an operation module, a detector, and a switch module, and the detector detects whether the touch panel is wet based on a touch position detected by the touch panels.

TL;DR: In this paper, a noise estimation unit estimates a noise signal in an input signal and a switching unit switches between an output signal from the noise suppression unit and a noise excess suppression unit based on a decision result of the section decision unit.

TL;DR: In this article, a speech recognition system includes a recognition unit configured to recognize a speech signal and to generate a first recognition result, a transmitting unit that transmits at least one of the speech signals and a recognition feature to a server, a receiving unit that receives a second recognition result from the server and a result generating unit that generates a third recognition result.