Comments (1)
Just following up again to this. Without a working baseline, we may have to train from scratch using your workflow to get a comparable. This is okay, but, when comparing different results to your paper, it may not be as good as fine-tuning your pre-trained model.
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Related Issues (20)
- error
- Training and Validation cRM Mismatch HOT 2
- 仓库里模型比比赛时提交的结果好很多, 这个是有什么不同吗
- Normalization HOT 2
- [Question] How to do streaming reasoning (Real-Time), is there any documentation? HOT 1
- [Question] The real-time speech enhance is poor, Need help! HOT 3
- Training dataset bug HOT 1
- New
- 😍😍
- 有关look-ahead的疑问
- แอปตัดนอยซ์
- Fast FullSubNet m=infinity HOT 1
- Low volume vocal segments are suppressed HOT 2
- How to use the cpu training model? HOT 2
- Improved FullSubNet Usage HOT 2
- Will there be fast fullsubnet pre-trained model released? HOT 1
- Real-time streaming Fast FullSubNet (LSTMCell) HOT 3
- When will be the code of Mel-FullSubNet released? I'm very interested in the new work.
- DefaultCPUAllocator: can't allocate memory: you tried to allocate 178GB
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