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For anyone in the future who's gonna try this repo, **let me give you an easy way out**. I spent a lot of time on Speaker Recognition and the official docs say something and the samples given do somet…
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Things just like this
![image](https://user-images.githubusercontent.com/86200651/161357227-cf5693ff-ed2b-43f6-8406-a0d0e97fa189.png)
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hello,i would to know when a new speaker (not in data) ,how can deal with this state ,i read about this in paper (Speaker Verification Using Adapted Gaussian Mixture Models) to get final UBM combie I…
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Running dvector_create.py with default arguments and the TIMIT data throws the exception:
Traceback (most recent call last):
File "dvector_create.py", line 94, in
times, segs =…
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Hi Harry;
I want to use d-vector for diarization with 8kHz data. I have 9000 speakers. However my loss saturate around 5 (at 250 epoch)(Should I train with more epochs?). I use NIST data (it's around…
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Hi,
I am trying to find the d_vector for speaker diarization or speaker verification task using the AM-MobileNet1D model.
I have modified my previous inference script to compute the d_vector of …
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Hi Mr. @mravanelli and everyone interested in this repo,
As what I have learned so far, speakers' d-vectors are the feature vectors for each of those speakers extracted by a deep learning model. We…
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How much of an impact does the sample rate and bitrate have? My use case is that I need to perform speaker verification across multiple sample rates/codecs such as AMR and EVRC. I will of course be co…
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I am wondering about how you extract the speaker embedding with pre-trained verification model.
The speaker embedding I get from [https://github.com/resemble-ai/Resemblyzer](url) will have a vector…