Performance on speaker identification is good ,but on speaker verification is poor

[zrtlemontree]

I'm using your model to train on TIMIT, my parameters are the same as yours ,such as lr、batchsize. I use the script named  ‘speaker_id.py ’ to train model, and ‘compute_d_vector.py’ to get embeddings of utterances. In my experiment, I use the cosine similarity to get score,and the performance on speaker identification is good (like your result opening in github ),but on speaker verification I cannot reach my expectations(so far my EER is 3%).So I want to know your EER on TIMIT(verification). Many thanks.

[mravanelli]

Sorry for my late reply. Which is the EER that you able to achieve?

[zrtlemontree]

Thanks for your reply. My EER is about 2.5%. I use the "speaker_id.py" script and AM-Softmax to train sincnet, use the "compute_d_vector.py" script to extract embedding, and then use the cosine similarity score to calculate the EER. I tried a variety of trials, such as a trial with a correct ratio of 9:1 , and 1:1, but the EER is about 2.5% or more. I can basically reproduce the results of your "speaker_id.py" script.

Thank you.

------------------ 原始邮件 ------------------ 发件人: "Mirco Ravanelli"<[email protected]>; 发送时间: 2019年11月16日(星期六) 晚上10:59 收件人: "mravanelli/SincNet"<[email protected]>; 抄送: "张瑞腾"<[email protected]>;"Author"<[email protected]>; 主题: Re: [mravanelli/SincNet] Performance on speaker identification is good ,but on speaker verification is poor (#68)

Sorry for my late reply. Which is the EER that you able to achive?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[tommyngx]

@zrtlemontree Can you please share and help me with verification task? after get d-vector, i am confused to do that? please help! if possible, could you show the code you did for the verification task? thank you very much! my email is [email protected] . Cheers

[Shrijoy-Chowdhury]

Hi I have trained the model using speaker-=_id.py script.Next I want to test my model on new dataset, can anyone help me out with it. I am not able to understand how to do it