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  ---
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  license: mit
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  pipeline_tag: audio-to-audio
 
 
 
 
 
 
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  ---
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- This is a pre-trained version of Fast FullSubNet, a denoising model trained on the Deep Noise Suppression Challenge dataset of 2020 (DNS-INTERSPEECH-2020).
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  # Instructions
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  https://github.com/Audio-WestlakeU/FullSubNet
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  # Paper
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  [Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement
 
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  license: mit
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  pipeline_tag: audio-to-audio
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+ tags:
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+ - denoising
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+ - speech enhancement
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+ - speech separation
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+ - noise suppression
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+ - realtime
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  ---
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+ This is a pre-trained version of Fast FullSubNet, a real-time denoising model trained on the Deep Noise Suppression Challenge dataset of 2020 (DNS-INTERSPEECH-2020).
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  # Instructions
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  https://github.com/Audio-WestlakeU/FullSubNet
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+ Note: The code doesn't support real-time streaming out of the box.
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+
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  # Paper
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  [Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement