Comments (9)
Hi I pushed a new release. Could you update with: pip install -U deepfilternet
and try again?
from deepfilternet.
Hi, thanks for your interest in DeepFilterNet! The sample you provided has a very bad SNR (I guess <-10dB). Even though DeepFitlerNet2's performance is quite good, these bad SNRs are too challenging I guess. Do you have some other approaches that sound well given this SNR?
from deepfilternet.
The SNR of the previous zip file is indeed low, I replaced a zip file with a higher SNR. My main question is why the residue exists in speech, and in non-speech segments the effect is relatively better. Intuitively, whitenoise should be easy to deal with.
samples_higer_snr.zip
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I get a different output than you:
femaleSNR20dB_DeepFilterNet2.zip
This sounds much better.
Could you send me some logs to see if something went wrong when you processed the samples?
from deepfilternet.
from deepfilternet.
Is there something wrong?
from deepfilternet.
Seems like DeepFilterNet 1 is loaded. I will push a new release that includes the new DeepFilterNet2 checkpoints soon. The new model should provide a better performance.
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Thanks
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This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 7 days.
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Related Issues (20)
- audio super resolution HOT 1
- Clarification on Training Configuration for DeepFilterNet3 (dataset.cfg) HOT 1
- Cannot use DeepFilterNet2 model (CLI) HOT 1
- Pre-built binaries of `libdeepfilter` (C API) HOT 2
- Can't reproduce DeepFilterNet2 and DeepFilterNet3 results on Voicebank Demand test set HOT 6
- Unable to use libDF due to debug checks failing: duplicate name /convt3/Conv.bias HOT 1
- Error(s) in loading state_dict for DfNet: Unexpected key(s) in state_dict: "erb_comp.c", "erb_comp.mn". HOT 1
- Out-of-memory when running deepFilter on long audio files HOT 2
- Using ladspa with mono input produces an error HOT 1
- Pipewire filter-chain source support in Windows HOT 1
- Fine Tuning DeepFilterNet HOT 1
- Installation problem HOT 1
- requirement files installation problem HOT 1
- GPU Memory torch.cuda.OutOfMemoryError HOT 1
- [BUG] Only works with sample rate == 48000 HOT 3
- Multiple GPU training via DistributedDataParallel
- How to quantify the model
- 16k model training configuration and 16k pre-trained model
- RuntimeError: Couldn't find appropriate backend to handle uri <noisy_audio_file> and format None. HOT 1
- filter_dnsmos.py:the default score is too high?
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