We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
在MISP2021数据集上使用speaker diarization,使用cam++模型,audio_only:MISS=23;FA=2.56;SER=9;DER=35;;audio_visual:MISS=23,FA=2.56;SER=15;DER=40; 在eval数据上DER差距更大分别是36%和48%,请问clustering部分可以微调嘛
The text was updated successfully, but these errors were encountered:
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
Sorry, something went wrong.
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
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
No branches or pull requests
在MISP2021数据集上使用speaker diarization,使用cam++模型,audio_only:MISS=23;FA=2.56;SER=9;DER=35;;audio_visual:MISS=23,FA=2.56;SER=15;DER=40;
在eval数据上DER差距更大分别是36%和48%,请问clustering部分可以微调嘛
The text was updated successfully, but these errors were encountered: