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speaker-recognition-demo's Introduction

Hi πŸ‘‹πŸ½, I'm Tao Ruijie!


I am a PhD student in National University of Singapore (NUS), supervised by Prof. Li Haizhou. Prior to that, I received my Master’s Degree from NUS in 2019 and my Bachelor's Degree from Soochow University in 2018.

My research interest Audio-visual speech processing, includes speaker recognition, active speaker detection, self-supervised learning. I have published more than 10 papers at the top international AI conferences such as ACM MM, ICASSP, INTERSPEECH.

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speaker-recognition-demo's Issues

nable to execute

Traceback (most recent call last):
File "demoSpeakerNet.py", line 53, in
score = [float(numpy.round(- torch.nn.functional.pairwise_distance(feat_enroll.unsqueeze(-1), feat_test.unsqueeze(-1).transpose(0,2)).detach().numpy(), 4))]
TypeError: only size-1 arrays can be converted to Python scalars

problem in demoSpeakerNet

I wanted to test the demo recognition with my test audios, but an error occured the Warning goes below:
Traceback (most recent call last):
File "E:\SpeakerRecognitionDemo-main\demoSpeakerNet.py", line 53, in
score = [float(numpy.round(-torch.nn.functional.pairwise_distance(feat_enroll.unsqueeze(-1), feat_test.unsqueeze(-1).transpose(0,2)).detach().numpy(), 4))]
TypeError: only size-1 arrays can be converted to Python scalars

I didnt change the code, can you help?

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