YingSound - A multimodal sound effect generation large model for video-guided audio synthesis.

## YingSound Development Team YingSound was developed through a collaboration between: - Giant Network AI Lab - Xidian University ASLP Lab - Zhejiang University ## YingSound Technical Framework YingSound employs: 1. **DiT-based Flow-Matching framework**: For temporal alignment and audio generation 2. **Multi-modal Chain-of-Thought (CoT) control module**: For precise cross-modal alignment 3. **Audio-Vision Aggregator (AVA)**: Integrates high-resolution visual and audio features ## YingSound Application Scenarios YingSound supports sound generation for: - Game videos - Anime/animation videos - Real-world videos - AI-generated videos - Long-duration videos ## YingSound Synchronization Mechanism YingSound achieves synchronization through: 1. **Temporal alignment**: Precise timing of sound effects with visual events 2. **Semantic understanding**: Contextual matching of sounds to video content 3. **Multi-stage feature integration**: Using AVA to combine visual and audio cues ## YingSound Evaluation Methodology The model was validated through: - Automated quantitative evaluations - Human perceptual studies - Comparisons with baseline models (GT, FoleyCrafter, Diff-Foley) - Testing on industry-standard V2A datasets ## YingSound Availability Status As of March 2025: - YingSound remains a research model - No public interactive demo exists - Usage requires contacting authors or referencing the arXiv paper - Primary access is through the [project homepage](https://giantailab.github.io/yingsound/) ## YingSound Generation Examples Demonstrated sound generation includes: - Mechanical sounds (motorcycle engine, car horn) - Environmental sounds (thunder, subway driving) - Animal sounds (bird song) - Action sounds (gunshot, balloon pop) ## YingSound Technical Advancements Key differentiators: 1. **Few-shot capability**: Effective with limited training data 2. **High temporal precision**: Superior alignment accuracy 3. **Multi-modal control**: Textual conditioning for specific sound requests 4. **Generalization**: Works across diverse video genres ### Citation sources: - [YingSound](https://giantailab.github.io/yingsound) - Official URL Updated: 2025-04-01