Abstract: A fan control system applied to N fans inside a computer system is disclosed, comprising: a main microphone, a control circuitry, a wave generation circuitry and a number N of fan controllers. The control circuitry calculates a basic frequency value according to a temperature inside the computer system, and continuously updates a parameter by any known optimization algorithm according to a main audio signal from the main microphone. The wave generation circuitry generates N square waves according to the basic frequency value and the parameter. The N fan controllers respectively form and transmit N modulation signals to the N fans according to the N square waves and N tachometric signals from the N fans. The parameter is one of a frequency variation and a set of phase differences, and the N square waves have the same frequency.

Abstract: A hearing device is disclosed, comprising a main microphone, M auxiliary microphones, a transform circuit, a processor, a memory and a post-processing circuit. The transform circuit transforms first sample values in current frames of a main audio signal and M auxiliary audio signals from the microphones into a main and M auxiliary spectral representations. The memory includes instructions to be executed by the processor to perform operations comprising: performing ANC over the first sample values using an end-to-end neural network to generate second sample values; and, performing audio signal processing over the main and the M auxiliary spectral representations using the end-to-end neural network to generate a compensation mask. The post-processing circuit modifies the main spectral representation with the compensation mask to generate a compensated spectral representation, and generates an output audio signal according to the second sample values and the compensated spectral representation.

Abstract: A fan control system applied to N fans inside a computer system is disclosed, comprising: a main microphone, a control circuitry, a wave generation circuitry and a number N of fan controllers. The control circuitry calculates a basic frequency value according to a temperature inside the computer system, and continuously updates a parameter by any known optimization algorithm according to a main audio signal from the main microphone. The wave generation circuitry generates N square waves according to the basic frequency value and the parameter. The N fan controllers respectively form and transmit N modulation signals to the N fans according to the N square waves and N tachometric signals from the N fans. The parameter is one of a frequency variation and a set of phase differences, and the N square waves have the same frequency.

Abstract: A hearing device is disclosed, comprising a main microphone, M auxiliary microphones, a transform circuit, a processor, a memory and a post-processing circuit. The transform circuit transforms first sample values in current frames of a main audio signal and M auxiliary audio signals from the microphones into a main and M auxiliary spectral representations. The memory includes instructions to be executed by the processor to perform operations comprising: performing ANC over the first sample values using an end-to-end neural network to generate second sample values; and, performing audio signal processing over the main and the M auxiliary spectral representations using the end-to-end neural network to generate a compensation mask. The post-processing circuit modifies the main spectral representation with the compensation mask to generate a compensated spectral representation, and generates an output audio signal according to the second sample values and the compensated spectral representation.

Abstract: Provided is a speech recognition system including an acoustic model, a decoding graph module, a history buffer, and a decoder. The acoustic model is configured to receive an acoustic input from an input module, divide the acoustic input into audio clips, and return scores evaluated for the audio clips. The decoding graph module is configured to store a decoding graph having at least one possible path of the keyword. The history buffer is configured to store history information corresponding to the possible path in the decoding graph module. The decoder is connected to the acoustic model, the decoding graph module, and the history buffer, and configured to receive the scores from the acoustic model, loop up the possible path in the decoding graph module, and predict an output keyword.

Abstract: A real-time apparatus for detecting surface defects on a moving object under test comprises a high-frequency linear light source for generating linear light which is focused on a line position of the tested object, a linear CCD (charge coupled device) camera for scanning the line position and generating an image signal, an image-signal processing device for converting the analog image signal to digital image signal and further converting the digital signal to a HIGH or a LOW signal, a combination of the HIGH and LOW signals constituting constituting binary image data in the form of binary pulses, an image-storing circuit connected to the image-signal processing circuit for storing the binary image data, a defect-detecting unit for detecting if an area unit has a valid defect which meets one of a set of predetermined defect patterns or detecting statistical defects which are not valid defects but a plurality of small defects combined together still counted as defects, and a defect detecting statistic unit conn

Abstract: A method and apparatus is provided for controlling the laser cutting of a laser beam machine by image processing techniques. A photographing device is provided to photograph a pattern or material object and to obtain a pattern image. According to the pattern, an article is cut by the laser beam machine. The photographed pattern image is digitized and stored in an image processing card. In turn, by using image processing techniques, the digitized pattern image is thresholded, and contours and/or skeletons are extracted therefrom. Each of the extracted contours and/or skeletons is linked point by point to form a series of characteristic points, and the linked lines are stored in a memory device of a microcomputer. The linked lines are replaced by a plurality of vector points in a curve approximation process, and the vector points for each linked line form a series of line vector data.