Comments (2)
actually there is misinformation in this repository but when I searched for information about the approach and resources they relied on for the model I found this official article, it may help you understand how things work here a little better
from resemble-enhance.
It seems that the number of training steps is 870000 and the number of trained samples is 192478464. This second number seems to be the total combinations audio+noise+rir trained, so front ground audios could be repeated. You can check this information creating a script loading and printing pretrained models. Training time depends on hardware architecture, so it's dificult to estimate.
from resemble-enhance.
Related Issues (20)
- Windows posixpath error HOT 3
- In Ubuntu 22.04, The application stops with an error telling nothing except that cloning the repo has failed HOT 2
- PosixPath error when running on MacOS HOT 4
- Docker installation possible? HOT 1
- Web Application throws Errors on Submit HOT 7
- Query Regarding the Impact of Varied Acoustic Environments on Model Performance HOT 2
- resemble_enhance/enhancer /__main__.py fixes
- Pre-trained usage with CPU / without Nvidia GPU HOT 2
- run the project meets errors
- Installation error HOT 1
- Command line instructions HOT 3
- Command line error HOT 1
- 在推理完成后发现几乎没有变化,和hugging face的结果差距很大 HOT 1
- reading hparams HOT 1
- processing one file
- How can i convert the .pt file to core ml model
- Question about Dataset
- RuntimeError in torchaudio_sox::load_audio_file() HOT 2
- Pretrained Model
- When installing on Win10,A Error occured,UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 1907: illegal multibyte sequence
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