WeSpeaker ResNet34 说话人嵌入模型

这是从 ChengDong Liang 的仓库 复制的 voxceleb_resnet34_LM.onnx 说话人嵌入模型。

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
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如何在 pyannote.audio 中使用

from pyannote.audio.pipelines.speaker_verification import PretrainedSpeakerEmbedding
get_embedding = PretrainedSpeakerEmbedding(\"hbredin/wespeaker-voxceleb-resnet34-LM\")

assert waveforms.ndim == 3
batch_size, num_channels, num_samples = waveforms.shape
assert num_channels == 1

embeddings = get_embedding(waveforms)
assert embeddings.ndim == 2
assert embeddings.shape[0] == batch_size