Comments (2)
- When you set the 'self.min_num_spks' to 2, it will be equivalent to the other code.
- If a speaker speaks very little, it is hard to identify. Minimal clusters will be ignored in spectral clustering. If you want to do this, other clustering methods may be more appropriate, such as AHC. @leia404
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Okay, got it. Thanks for your answer!
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Related Issues (20)
- 数据集 HOT 3
- 有没有ERes2NetV2,m_channels = 32,在200k-Spkrs上面训练的模型发布? HOT 4
- 客户端没有所需的特权
- For ERes2NetV2 performance on short-duration wavs HOT 2
- SELF-DISTILLATION NETWORK WITH ENSEMBLE PROTOTYPES: LEARNING ROBUST SPEAKER REPRESENTATIONS WITHOUT SUPERVISION HOT 2
- 流式说话人识别可以实现吗? HOT 1
- 关于ERes2Net_VOX模型的效果问题 HOT 4
- Assertion error
- Inference index info in indentification from trained model HOT 5
- Numbers of speakers HOT 1
- GPU requirement for sv-eres2netv2 HOT 3
- sv-eres2net训练异常 HOT 6
- modelscope如何调用自己训练的模型 HOT 3
- 打包的exe执行时报错Error loading model: 'speaker-verification is not in the pipelines registry group speaker-verification. Please make sure the correct version of ModelScope library is used.' HOT 1
- 关于exp decrease learning schedule HOT 2
- 使用speaker diarization结合视频的DER结果效果比单音频的还要差,请问这可以微调嘛? HOT 3
- 使用speaker diarization结合视频的DER结果效果比单音频的还要差,请问这可以微调嘛?
- 关于切分subseg的问题 HOT 1
- 关于人脸相关模型输入通道的问题。 HOT 1
- support real-time speaker diarization? HOT 1
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