This is a simplified guide to an AI model called Resemble-Enhance maintained by Resemble-Ai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Resemble AI has developed a speech enhancement model that improves audio quality through denoising and enhancement. The model processes audio files to reduce background noise and restore audio distortions while extending bandwidth to 44.1kHz for crystal-clear speech output.
Model Inputs and Outputs
The model takes audio files as input and applies configurable enhancement settings to produce improved audio quality. The process uses advanced AI techniques to separate and enhance speech components.
Inputs
- Input Audio - Audio file for enhancement
- Solver Type - Choice of Midpoint, RK4, or Euler algorithms
- Function Evaluations - Number of CFM evaluations (1-128)
- Prior Temperature - Temperature setting (0-1) for processing
- Denoise Flag - Option to enable noise reduction
Outputs
- Enhanced Audio - Array of processed audio file URIs with improved quality
Capabilities
The enhancement process consists of tw...
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