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README.md
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# SI-SNR Estimator
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This repository provides all the necessary tools to perform blind SI-SNR estimation from mixture signal + estimated sources.
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The SI-SNR estimator is trained with a recordings from the WHAMR! and LibriMix datasets. We used a mixture of 9 separators to create the training data on the fly.
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This model is released together with the REAL-M dataset for source separation on in-the-wild speech mixtures.
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# SI-SNR Estimator introduced for the REAL-M dataset
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This repository provides all the necessary tools to perform blind SI-SNR estimation on the REAL-M dataset, from mixture signal + estimated sources. While this SI-SNR estimator is introduced with the REAL-M dataset, it can also be used on any speech separation dataset.
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The SI-SNR estimator is trained with a recordings from the WHAMR! and LibriMix datasets. We used a mixture of 9 separators to create the training data on the fly.
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This model is released together with the REAL-M dataset for source separation on in-the-wild speech mixtures.
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