Abstract: Embodiments of the present disclosure provide a method and a device for processing data based on a speech recognizing and scoring system. The method includes: acquiring at least one data frame to be processed from each of a plurality of threads to obtain a plurality of data frames; performing a frame splicing process on the plurality of data frames to obtain a spliced data frame, and determining the spliced data frame as a target data frame; and determining a target thread from the plurality of threads, and processing the target data frame based on the target thread.

Abstract: The present disclosure provides an artificial intelligence-based acoustic model training method and apparatus, a device and a storage medium, wherein the method comprises: obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. The solution of the present disclosure can be applied to save manpower costs and improve the training efficiency.

Abstract: Embodiments of the present disclosure provide a method and a device for training an acoustic model, a computer device and a storage medium. The method includes obtaining supervised speech data and unsupervised speech data, in which, the supervised speech data is speech data with manual annotation and the unsupervised speech data is speech data with machine annotation; extracting speech features from the supervised speech data and the unsupervised speech data; and performing a multi-task learning having a supervised learning task and an unsupervised learning task on the speech features of the supervised speech data and the unsupervised speech data by using a deep learning network, to train and obtain the acoustic model.

Abstract: Embodiments of the present disclosure provide a method and a device for training an acoustic model, a computer device and a storage medium. The method includes obtaining supervised speech data and unsupervised speech data, in which, the supervised speech data is speech data with manual annotation and the unsupervised speech data is speech data with machine annotation; extracting speech features from the supervised speech data and the unsupervised speech data; and performing a multi-task learning having a supervised learning task and an unsupervised learning task on the speech features of the supervised speech data and the unsupervised speech data by using a deep learning network, to train and obtain the acoustic model.

Abstract: The present disclosure provides an artificial intelligence-based acoustic model training method and apparatus, a device and a storage medium, wherein the method comprises: obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. The solution of the present disclosure can be applied to save manpower costs and improve the training efficiency.

Abstract: Embodiments of the present disclosure provide a method and a device for processing data based on a speech recognizing and scoring system. The method includes: acquiring at least one data frame to be processed from each of a plurality of threads to obtain a plurality of data frames; performing a frame splicing process on the plurality of data frames to obtain a spliced data frame, and determining the spliced data frame as a target data frame; and determining a target thread from the plurality of threads, and processing the target data frame based on the target thread.

Abstract: The present invention provides a Type-C-based USB connector capable of transmitting large current. Since the lower ground terminal and the lower power signal terminal both are of tear structures, and the ground base of the lower ground terminal, the power signal base of the lower power signal terminal, the main body of the lower ground terminal and the main body of the lower power signal terminal are all widened parts, the active areas of the ground terminal and the power signal terminal are larger, which improves the ability and reliability to transmit large current, thus solving the technical problem that the temperature would be much too high when large current are transmitted. With the present invention, it is possible to improve reliability and operation ease of the product for transmitting large current.

Abstract: The present invention provides a Type-C-based USB connector capable of transmitting large current. Since the lower ground terminal and the lower power signal terminal both are of tear structures, and the ground base of the lower ground terminal, the power signal base of the lower power signal terminal, the main body of the lower ground terminal and the main body of the lower power signal terminal are all widened parts, the active areas of the ground terminal and the power signal terminal are larger, which improves the ability and reliability to transmit large current, thus solving the technical problem that the temperature would be much too high when large current are transmitted. With the present invention, it is possible to improve reliability and operation ease of the product for transmitting large current.

Abstract: The present invention involves an exhibiting method of exhibition. The present invention comprises the following steps: first, mount a display terminal in an exhibition building and/or at an exhibiting booth, and mount an image pickup device at the position where the content to be exhibited is located; second, send the video shot by the image pickup device about the content to be exhibited via network to the display terminal mounted in the exhibition building and/or at the exhibiting booth, and visitors view the content to be exhibited via the display terminal. An exhibitor can at anywhere send the content to be exhibited via network video to the exhibition building and/or the exhibiting booth for the visitors to view, so, the high cost of traveling, accommodation, etc. is saved, and, the time for transporting the exhibits and the traveling time of the exhibitors are completely saved.