Create README.md

README.md

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+# Speaker Identification with ECAPA-TDNN embeddings on Voxceleb
+
+This repository provides a pretrained ECAPA-TDNN model using SpeechBrain. The system can be used to extract speaker embeddings as well. It is trained on Voxceleb 2 development data only.
+
+# Pipeline description
+
+This system is composed of an ECAPA-TDNN model. It is a combination of convolutional and residual blocks. The embeddings are extracted using attentive statistical pooling. The system is trained with Additive Margin Softmax Loss.
+
+# Compute the speaker embeddings
+
+The system is trained with recordings sampled at 16kHz (single channel).
+
+```python
+import torchaudio
+from speechbrain.pretrained import EncoderClassifier
+classifier = EncoderClassifier.from_hparams(source="yangwang825/ecapa-tdnn-vox2")
+signal, fs = torchaudio.load('spk1_snt1.wav')
+embeddings = classifier.encode_batch(signal)
+```
+
+You can find our training results (models, logs, etc) here.