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This is a copy of `voxceleb_resnet34_LM.onnx` speaker embedding model taken from [ChengDong Liang's repository](https://huggingface.co/chengdongliang/wespeaker).
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```
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Copyright 2022 ChengDong Liang
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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```
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This is a copy of `voxceleb_resnet34_LM.onnx` speaker embedding model taken from [ChengDong Liang's repository](https://huggingface.co/chengdongliang/wespeaker).
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```
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Copyright 2022 ChengDong Liang
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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```
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```python
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from pyannote.audio.pipelines.speaker_verification import PretrainedSpeakerEmbedding
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get_embedding = PretrainedSpeakerEmbedding("hbredin/wespeaker-voxceleb-resnet34-LM")
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assert waveforms.ndim == 3
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batch_size, num_channels, num_samples = waveforms.shape
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assert num_channels == 1
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embeddings = get_embedding(waveforms)
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assert embeddings.ndim == 2
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assert embeddings.shape[0] == batch_size
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```
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