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@@ -54,7 +54,9 @@ We test 4 unlabeled datasets on unsupervised pretrained W2V2-base models:
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  - **LB1100h:** pretrain W2V2 using 1100h LB home recordings
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  - **LL4300h:** pretrain W2V2 using 4300h LB+LENA home recordings
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  We then fine-tune pretrained models on 11.7h of LB labeled home recordings, the f1 scores across three tasks are
 
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  # Citation
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@@ -64,6 +66,9 @@ If you found this model helpful to you, please cite us as
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  # Model Card Contact
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  Jialu Li (she, her, hers)
 
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  Ph.D candidate @ Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
 
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  E-mail: [email protected]
 
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  Homepage: https://sites.google.com/view/jialuli/
 
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  - **LB1100h:** pretrain W2V2 using 1100h LB home recordings
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  - **LL4300h:** pretrain W2V2 using 4300h LB+LENA home recordings
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  We then fine-tune pretrained models on 11.7h of LB labeled home recordings, the f1 scores across three tasks are
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+ ![Results](results.jpg)
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+ For more details, please refer to our paper.
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  # Citation
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  # Model Card Contact
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  Jialu Li (she, her, hers)
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  Ph.D candidate @ Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
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  E-mail: [email protected]
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  Homepage: https://sites.google.com/view/jialuli/