This is a simplified guide to an AI model called Resemble-Enhance maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The resemble-enhance model is an AI-driven audio enhancement tool powered by Resemble AI. It aims to improve the overall quality of speech by performing denoising and enhancement. The model consists of two modules: a denoiser that separates speech from noisy audio, and an enhancer that further boosts the perceptual audio quality by restoring distortions and extending the audio bandwidth. The models are trained on high-quality 44.1kHz speech data to ensure the enhancement of speech with high quality.
Model inputs and outputs
The resemble-enhance model takes an input audio file and several configurable parameters to control the enhancement process. The output is an enhanced version of the input audio file.
Inputs
- input_audio: Input audio file
- solver: Solver to use (default is Midpoint)
- denoise_flag: Flag to denoise the audio (default is false)
- prior_temperature: CFM Prior temperature to use (default is 0.5)
- number_function_evaluations: CFM Number of function evaluations to use (default is 64)
Outputs
- Output: Enhanced audio file(s)
Capabilities
The resemble-enhance model can impro...
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