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Janghyun1230 / Speaker_Verification

Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"
MIT License
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Result Visualization #25

Open Rojina99 opened 5 years ago

Rojina99 commented 5 years ago

After testing the trained model by using code:

python main.py --train False --model_path model_output

I get results as

inference time for 40 utterences : 1.64s [[[ 0.73 -0.43 -0.3 0. ] [ 0.65 -0.42 -0.47 -0.39] [ 0.62 -0.42 -0.48 -0.4 ] [ 0.96 -0.28 -0.14 -0.05] [ 0.68 -0.54 -0.4 -0.08]]

[[ 0.11 0.83 0.37 -0.24] [-0.08 0.86 0.49 -0.24] [-0.08 0.87 0.48 -0.25] [-0.15 0.96 0.69 0.08] [-0.17 0.97 0.68 0.01]]

[[-0.04 0.65 0.89 -0.05] [-0.02 0.7 0.94 -0.01] [-0.03 0.69 0.94 -0.04] [-0.14 0.79 0.96 0.08] [-0.07 0.75 0.89 0.06]]

[[-0.16 -0.13 0.07 0.88] [-0.05 -0.18 0.1 0.95] [-0.05 -0.24 0.08 0.94] [-0.05 -0.09 0.31 0.93] [-0.06 -0.18 0.06 0.91]]]

EER : 0.10 (thres:0.65, FAR:0.10, FRR:0.10)

And I want to visualize this results like for specific number of people in specific timestamp. But I have no idea how can I do it.

So, if anyone can help me with this ?

TonyB22 commented 2 years ago

I have also no idea how to do it .

EER : 0.10 (thres:0.65, FAR:0.10, FRR:0.10)

what does this results mean ?