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itemize
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README.md
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## Description:
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Paper: "Multi-Decoder DPRNN: High Accuracy Source Counting and Separation",
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Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson. ICASSP(2021). https://ieeexplore.ieee.org/document/9414205
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Summary: This model achieves SOTA on the problem of source separation with an unknown number of speakers. It uses multiple decoder heads(each tackling a distinct number of speakers), in addition to a classifier head that selects which decoder head to use.
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Demo Page: https://junzhejosephzhu.github.io/Multi-Decoder-DPRNN/
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Original research repo is at https://github.com/JunzheJosephZhu/MultiDecoder-DPRNN
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This model was trained by Joseph Zhu using the wsj0-mix-var/Multi-Decoder-DPRNN recipe in Asteroid.
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## Description:
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Paper: "Multi-Decoder DPRNN: High Accuracy Source Counting and Separation",
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Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson. ICASSP(2021). https://ieeexplore.ieee.org/document/9414205
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Summary: This model achieves SOTA on the problem of source separation with an unknown number of speakers. It uses multiple decoder heads(each tackling a distinct number of speakers), in addition to a classifier head that selects which decoder head to use.
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Demo Page: https://junzhejosephzhu.github.io/Multi-Decoder-DPRNN/
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Original research repo is at https://github.com/JunzheJosephZhu/MultiDecoder-DPRNN
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This model was trained by Joseph Zhu using the wsj0-mix-var/Multi-Decoder-DPRNN recipe in Asteroid.
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