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ZENODO
Dataset . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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Model weights and pre-processed audio files for Diffiner

Research datakeyboard_double_arrow_right Dataset 31 May 2023Publisher:Zenodo
Authors: Ryosuke Sawata; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Takashi Shibuya; Shusuke Takahashi; Yuki Mitsufuji;

doi: 10.5281/zenodo.7988789 , 10.5281/zenodo.7988790

Model weights and pre-processed audio files for Diffiner

Abstract

This repository contains the pre-trained model weights for Diffiner proposed in the paper Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement by Sony. Furthermore, to run Diffiner same as our paper, the preceding results processed by DCUnet are provided here. More information about Diffiner including our codes is available in https://github.com/sony/diffiner.

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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59
102