Comments (3)
wanghuii1
commented on July 30, 2024
可以调，但是当前pipeline无法处理overlap的问题，而MISP有大量的overlap，如果想在MISP数据集上做出好的结果，建议follow历届MISP的report，使用多模态的TASVD方案
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Coconut059
commented on July 30, 2024
可以调，但是当前pipeline无法处理overlap的问题，而MISP有大量的overlap，如果想在MISP数据集上做出好的结果，建议follow历届MISP的report，使用多模态的TASVD方案
谢谢！想问一下该代码效果比较好的数据集有哪些？同时如果可以调整audio和visual的联合聚类的话要怎么调呢
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wanghuii1
commented on July 30, 2024
我们后续会开源一个overlap较少的音视频数据集。调参可以试着调整下conf/diar_video.yaml中的vision_cluster.fix_cos_thr
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Related Issues (20)
- 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
- 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
- 请教language-identification语料时数问题 HOT 2
- 训练问题 HOT 3
- 请教多模态说话人日志处理问题 HOT 1
- 训练CAM++时的问题 HOT 1
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