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voxceleb_resnet34_LM.onnx speaker embedding model taken from ChengDong Liang's repository.Copyright 2022 ChengDong Liang
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.1from pyannote.audio.pipelines.speaker_verification import PretrainedSpeakerEmbedding
2get_embedding = PretrainedSpeakerEmbedding("hbredin/wespeaker-voxceleb-resnet34-LM")
3
4assert waveforms.ndim == 3
5batch_size, num_channels, num_samples = waveforms.shape
6assert num_channels == 1
7
8embeddings = get_embedding(waveforms)
9assert embeddings.ndim == 2
10assert embeddings.shape[0] == batch_size