5 results about "Age specific" patented technology

The present invention relates to a kit of nutrient blend compositions for young individuals, in particular children aged between 0 and 66 months, each one of the compositions having age-specific ingredients. The kit of nutrient blend compositions is specifically aimed at promoting myelination of targeted brain regions, in particular the social brain, of children at specific ages and stages of brain development.

The invention provides a speech synthesis method and system, electronic equipment and a storage medium, and the method comprises the steps: inputting the speech features of the source speech of a target object into an encoder in a speech synthesis model, and obtaining the first coding feature and the second coding feature of the source speech; inputting the first coding feature of the source voice into an age sensing module in a voice synthesis model to obtain a target age feature of first age data, and obtaining a target age feature of second age data according to the target age feature of the first age data; and inputting the target age feature of the second age data, the second coding feature of the source speech and the to-be-synthesized target text into a speech synthesis module in a speech synthesis model to obtain a target speech of the target object under the second age data. According to the invention, through age feature decoupling and age feature stretching, the cost and complexity of data acquisition are effectively reduced, and meanwhile, high-precision synthesis of voice of a specific age is improved.

The present invention belongs to the technical field of medical image processing, and proposes an autism detection device for a specific age group. The autism detection device for a specific age group includes a model training module and an autism detection module; the magnetic resonance structural image features are fused based on the multiple kernel learning method to assist in the autism detection of a specific age group. The multiple kernel learning is used to combine two structural image features, so that the features representing the information within the region and the features representing the relationship between regions are more effectively fused with appropriate weights; in addition, considering the high heterogeneity among ASD patients, it is proposed to divide ASD patients into three age groups, and a classification model suitable for each age group is used within each age group, so as to better complete the classification task.

The system according to this embodiment aims to automatically identify and block inappropriate content so that children can safely enjoy video streaming sites. [Solution] The system according to this embodiment comprises a content analysis unit, an age restriction unit, a display unit, a keyword filtering unit, and an image recognition unit. The content analysis unit analyzes the content of a video streaming site in real time. The age restriction unit sets age restrictions based on the data analyzed by the content analysis unit. The display unit displays only content suitable for a specific age group based on the age restrictions set by the age restriction unit. The keyword filtering unit automatically blocks content containing specific keywords or phrases. The image recognition unit identifies and blocks inappropriate images or scenes in the video.

The application provides a speech synthesis method, system, electronic equipment and storage medium, wherein the method comprises: inputting the speech features of the source speech of a target object into an encoder in a speech synthesis model to obtain first encoding features and second encoding features of the source speech; inputting the first encoding features of the source speech into an age perception module in the speech synthesis model to obtain target age features of first age data, and obtaining target age features of second age data according to the target age features of the first age data; inputting the target age features of the second age data, the second encoding features of the source speech and target text to be synthesized into a speech synthesis module in the speech synthesis model to obtain target speech of the target object under the second age data. Through age feature decoupling and age feature stretching, the application effectively reduces the cost and complexity of data collection while improving the high-precision synthesis of specific age speech.