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Does the speech pre-training considers speech-to-text task? Or is the model being trained for speaker verification?
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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 …
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I am not sure if i am missing something. I followed the documentation in how to load a pipeline for speaker diarization offline.
i followed this description:
https://github.com/pyannote/pyannote-a…
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How can i fine tune the pretrained model with my own audio files for speaker verification?
There is no particular tutorial for it and i'm lost
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Hi,
I wanna use **wavlm** model to extract speaker embedding for speaker verification task. In [the paper](https://arxiv.org/pdf/2110.13900.pdf) it is mentioned that for the task of speaker verificat…
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when I finish the trianing of x-vector by 'python train_speaker_embeddings.py hparams/train_x_vector.yaml', i want to do the verification task by PLDA:'python speaker_verification_plda.py hparams/veri…
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How can i fine tune the pretrained model with my own audio files for speaker verification?
There is no particular tutorial for it and i'm lost
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Suppose I want to test the voice/numpy array/features of one speaker against seven different speakers.
Does the data of the single speaker go in the enrollment or the verification batch? Similarly…
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Hi,
I would like to train the plda with embeddings from my speaker verification model.
Can you give some insights on how to create train, val and eval data.
Thank You
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Hi
I am getting errors when the library initiates a connection via:
`const conPromise = this.connectImpl();`
The error I'm getting is:
`Unable to contact server. StatusCode: 1006, undefined …