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Snowdar avatar Snowdar commented on August 26, 2024 1

Sorry, I am still busy now for this weekend. Sugget you to see subtools/recipe/voxceleb/gather_results_from_epochs.sh to know the example of score normalization. For score fusion, see subtools/weightScore.sh, subtools/fusionByLda.sh or subtools/fusitonBySvm.py to have a try. Note that, the format of trials is [target-id utt-id target/nontarget] and score is [target-id utt-id score].

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Snowdar avatar Snowdar commented on August 26, 2024

Yeah, thanks to your suggestion and I will write this in my free time (about this weekend).

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zh794390558 avatar zh794390558 commented on August 26, 2024

I will try and anytime is ok.

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zh794390558 avatar zh794390558 commented on August 26, 2024

using svm fusion, the result is minDCF is 1.0000 at threshold 1.0000 (p-target=0.05, c-miss=1,c-fa=1)
how to debug this?

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Snowdar avatar Snowdar commented on August 26, 2024

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zh794390558 avatar zh794390558 commented on August 26, 2024

fusion with equal weights is wok, and I have not try LDA now, SVM fusion is not work for me.

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Snowdar avatar Snowdar commented on August 26, 2024

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zh794390558 avatar zh794390558 commented on August 26, 2024

why https://github.com/Snowdar/asv-subtools/blob/master/fusionBySvm.py#L142 txt_b is zero?

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zh794390558 avatar zh794390558 commented on August 26, 2024

does score norm always improve EER and minDCF?

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Snowdar avatar Snowdar commented on August 26, 2024

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