Speaker Verification with ResNet embeddings on Voxceleb This repository provides all the necessary tools to perform speaker verification with a pretrained ResNet TDNN model using SpeechBrain. The system can be used to extract speaker embeddings as well. It is trained on Voxceleb 1 + Voxceleb2 training data. For a better experience, we encourage you to learn more about SpeechBrain. The model performance on Voxceleb1 test set(Cleaned) is: Release EER(%) minDCF : : : : : : 29 07 23 1.05 0.1082 Pipeline description This system is composed of an ResNet TDNN model. The system is trained with Additive Margin Softmax Loss. Speaker Verification is performed using cosine distance between speaker embeddings. 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 Perform Speaker Verification The prediction is 1 if the two signals in input are from the same speaker and 0 otherwise. Inference on GPU To perform inference on the GPU, add run opts={"device":"cuda"} when calling the from hparams method. Training The model was trained with Speec…
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