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title: Fire Coml FALL 2022 | |
emoji: 🎶 | |
colorFrom: green | |
colorTo: indigo | |
sdk: streamlit | |
sdk_version: 1.10.0 | |
app_file: app.py | |
pinned: false | |
# Tag-based Audio Generation | |
## Description | |
Model to generate audio given input genre(s), mood(s), and instrument(s) | |
## Link to demo app | |
https://huggingface.co/spaces/SLAYEROFALL3050/Audio_Generator_Using_GAN | |
## Youtube Video demo | |
TODO | |
## System Architecture Diagram | |
 | |
### Explanation | |
User inputs one genre tag, mood tag, and instrument tag into frontend. Each tag is passed to semantic similarity NLP model to determine nearest tags within training space, and coerces to (outputs) found training space genre, mood, and instrument tag. Those tags are passed to the audio generation model as input, which produces generated audio which is playable on the frontend. | |
## Model Architecture Diagrams | |
TODO: NLP model diagram | |
TODO: Audio generation model diagram | |
## Directory Guide | |
TODO | |
## Training Instructions | |
TODO | |
## Testing Instructions | |
TODO | |
## Citations and References | |
TODO | |