Speaker Verification with xvector embeddings on Voxceleb This repository provides all the necessary tools to extract speaker embeddings with a pretrained TDNN model using SpeechBrain. The system is trained on Voxceleb 1+ Voxceleb2 training data. For a better experience, we encourage you to learn more about SpeechBrain. The given model performance on Voxceleb1 test set (Cleaned) is: Release EER(%) : : : : 05 03 21 3.2 Pipeline description This system is composed of a TDNN model coupled with statistical pooling. The system is trained with Categorical Cross Entropy Loss. Install SpeechBrain First of all, please install SpeechBrain with the following command: Please notice that we encourage you to read our tutorials and learn more about SpeechBrain. Compute your speaker embeddings The system is trained with recordings sampled at 16kHz (single channel). The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling classify file if needed. Make sure your input tensor is compliant with the expected sampling rate if you use encode batch and classify batch . Inference on GPU To perform inference on the GPU, add run opts={"device":"cuda"} when call…
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