Abstract: In a method for synchronizing character display, motion data of a first character over a time period is obtained. A first phase parameter for the first character at an end of the time period is determined based on the motion data and a standard action cycle for a current action that is performed by the first character. A second phase parameter from the second terminal is received. The first phase parameter is adjusted based on the second phase parameter to obtain a third phase parameter. Updated motion data for the first character is generated based on the third phase parameter. The first character is displayed based on the updated motion data.

Abstract: The present application relates to the field of signal processing, and in particular, to a hearing aid method and apparatus for noise reduction. A hearing aid method for noise reduction, comprising: identifying a scenario where a user is located; and if detection data contains sample data in a sample database corresponding to the scenario, entering a hearing aid mode, and in the hearing aid mode, playing back all or part of external sounds, the external sounds being acquired by a reference microphone; the sample database is a sample sound library, and the sample data is a sample sound; different scenarios correspond to different sample sound libraries; wherein the sample sounds in respective sample sound libraries are configured with priorities; and the sample sounds in the sample sound libraries corresponding to different scenarios have different priorities.

Abstract: Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

Abstract: A method for annotating antibiotic resistance genes includes receiving a raw sequence encoding of a bacterium, determining first, in a level 0 module, whether the raw sequence encoding includes an antibiotic resistance gene (ARG), determining second, in a level 1 module, a resistant drug type, a resistance mechanism, and a gene mobility for the ARG, determining third, in a level 2 module, if the ARG is a beta-lactam, a sub-type of the beta-lactam, and outputting the ARG, the resistant drug type, the resistance mechanism, the gene mobility, and the sub-type of the beta-lactam. The level 0 module, the level 1 module and the level 2 module each includes a deep convolutional neural network (CNN) model.

Abstract: The present application relates to the field of signal processing, and in particular, to a hearing aid method and apparatus for noise reduction. A hearing aid method for noise reduction, comprising: identifying a scenario where a user is located; and if detection data contains sample data in a sample database corresponding to the scenario, entering a hearing aid mode, and in the hearing aid mode, playing back all or part of external sounds, the external sounds being acquired by a reference microphone; the sample database is a sample sound library, and the sample data is a sample sound; different scenarios correspond to different sample sound libraries; wherein the sample sounds in respective sample sound libraries are configured with priorities; and the sample sounds in the sample sound libraries corresponding to different scenarios have different priorities.

Abstract: Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

Abstract: A double talk detection method, a double talk detection apparatus and an echo cancellation system are provided. The double talk detection method comprises: determining, according to an energy ratio between a far-end digital voice signal and a near-end digital voice signal, and a frequency coherence value between the near-end digital voice signal and the far-end digital voice signal, whether a near-end speaker's digital voice signal is present in the near-end digital voice signal. The double talk detection method avoids missing detection and false detection, improves the accuracy of double talk detection, cancels the echo in the near-end voice signal thoroughly when applied in the field of echo cancellation, and improves the communication experience of both talk parties.

Abstract: A double talk detection method, a double talk detection apparatus and an echo cancellation system are provided. The double talk detection method comprises: determining, according to an energy ratio between a far-end digital voice signal and a near-end digital voice signal, and a frequency coherence value between the near-end digital voice signal and the far-end digital voice signal, whether a near-end speaker's digital voice signal is present in the near-end digital voice signal. The double talk detection method avoids missing detection and false detection, improves the accuracy of double talk detection, cancels the echo in the near-end voice signal thoroughly when applied in the field of echo cancellation, and improves the communication experience of both talk parties.