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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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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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# Paper
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[Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement
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