Abstract: The application discloses a touch detection method, a touch detection apparatus and a touch screen system. The touch detection method utilizes a closure strategy to close certain detection processes among three detection processes comprising a Y-direction electrode array detection, an X-direction electrode array detection and an XY-direction electrode array detection. Specifically, when it is detected in one of the three detection processes that no touch signal is generated on the touch screen, the other two of the three detection processes are not to be started; when it is determined that the touch signal on the touch screen is a multi-touch signal, one of the Y-direction electrode array detection and the X-direction electrode array detection that has not been executed is refrained from being started.

Abstract: A human voice distinguishing method and device are provided. The method involves: taking every n sampling points of the current frame of audio signals as one subsection, wherein n is a positive integer, judging whether two adjacent subsections have transition relative to a distinguishing threshold, wherein the sliding maximum absolute value of the two adjacent subsections is more and less than the distinguishing threshold respectively, if so, then determining the current frame to be human voice, where the sliding maximum absolute value of the subsection is obtained by the following method: taking the maximum value of absolute intensity of every sampling point in this subsection as the initial maximum absolute value of this subsection, and taking the maximum value of the initial maximum absolute value of this subsection and m subsections following this subsection as the sliding maximum absolute value of this subsection, wherein m is a positive integer.