A mood symbol music generation method and device and a storage medium
By using the CP-Transformer deep learning model and compound word representation, music attributes are discretized, solving the problems of high model training overhead and inflexible control signal representation in existing systems, and achieving efficient generation of emotional symbol music.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2024-01-30
- Publication Date
- 2026-06-09
AI Technical Summary
Existing emotion symbol music generation systems require determining the control signal set and model design during model pre-training, and retraining is required during adjustment, increasing time and space overhead. Existing systems use one-dimensional representations, which are difficult to handle sequential control signals, and the control signals are usually binary, making the representation inflexible.
The CP-Transformer deep learning model is used to discretize music attributes through an attribute preprocessing module, encode control signals using compound word representation, and combine music generation and control modules to achieve the generation of emotion symbol music, allowing fine-tuning based on the weights of a unified pre-trained model.
It enables flexible adjustment of model settings, reduces the time and space overhead of model training, improves the flexibility and emotional intensity of emotional symbol music generation, and retains musicality while adapting to personalized control needs.
Smart Images
Figure CN117953838B_ABST