2results about How to "Expand user base" patented technology

The present application relates to a new type of electronic music pipe, which is innovatively designed on the basis of traditional electronic blowing pipe, characterized by a blow nozzle-free structure, which completely changes the playing method and sanitary conditions, significantly reduces the requirement for breath control, and greatly widens the range of applicable people; the button layout is designed rigorously, the note buttons and auxiliary buttons are distributed reasonably, the layout of the left and right hand areas is convenient for players with different habits to operate, the note buttons are integrated with a force sensor, which is installed at the bottom of the button or below the circuit board, senses the playing force, and further realizes multi-dimensional control of the volume and timbre of the music, and gives the player rich expression; it has professional karaoke function, creates diverse musical atmosphere with the help of advanced audio synthesizer and multi-channel output instrument chip; the internal function corresponding table is open, and the functions of the buttons and voice commands can be personalized set; the electronic music pipe reduces the learning threshold, enriches the music performance, promotes music innovation and technological progress, and widens the application scenarios.

The application discloses a retrieval method and system based on semantic keyword classification and multilingual intelligent icons, and belongs to the technical field of icon retrieval. The method comprises the following steps: constructing a CLIP model supporting multiple languages; collecting a multi-source icon dataset, and training the CLIP model by taking the multi-source icon dataset as a training set to obtain a trained CLIP model; processing icons in an icon library and associated text labels by using the trained CLIP model to generate a corresponding picture feature vector library and a text feature vector library; extracting a to-be-matched text feature vector of input text by using the trained CLIP model, and matching the to-be-matched text feature vector with text feature vectors in the text feature vector library to obtain a preliminary matching result; and calculating the similarity of picture feature vectors in an icon set corresponding to the preliminary matching result and the to-be-matched text feature vector in a semantic space to obtain a final matching result. The application breaks the limitation of a single language and improves the retrieval accuracy.