Comments (5)
Hi could you provide some stack traces showing the full error messages?
No audio backend is related to torch audio. You mal have a look in their documentation.
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Thanks for your reply.
I needed to install PySoundFile. Now the audio backend error is gone, but libdf error still remains. The traceback is below:
Traceback (most recent call last):
File "c:\users\raymond\appdata\local\programs\python\python37\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "c:\users\raymond\appdata\local\programs\python\python37\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Users\Raymond\AppData\Local\Programs\Python\Python37\Scripts\deepFilter.exe_main.py", line 4, in
File "c:\users\raymond\appdata\local\programs\python\python37\lib\site-packages\df\enhance.py", line 17, in
from df.checkpoint import load_model as load_model_cp
File "c:\users\raymond\appdata\local\programs\python\python37\lib\site-packages\df\checkpoint.py", line 14, in
from libdf import DF
File "c:\users\raymond\appdata\local\programs\python\python37\lib\site-packages\libdf_init.py", line 1, in
from .libdf import *
ImportError: DLL load failed: The specified module could not be found.
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Which deep filter version are you using?
Could you try reinstalling deepfilterlib: pip install -U deepfilterlib
.
I don't have access to a windows machine, but in CI, windows is working. You may also have a look at the CI: https://github.com/Rikorose/DeepFilterNet/blob/main/.github/workflows/test_df.yml
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I tried updating.
Requirement already up-to-date: deepfilterlib in c:\users\raymond\appdata\local\programs\python\python37\lib\site-packages (0.2.3)
Requirement already satisfied, skipping upgrade: numpy>=1.20 in c:\users\raymond\appdata\local\programs\python\python37\lib\site-packages (from deepfilterlib) (1.21.6)
I'm not familiar with how to test with CI and using the yml configs and stuff, but I'll look into it and see if I can figure something out.
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Hi I pushed 0.2.4 release. Could you update and test again?
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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 HOT 1
- How to quantify the model HOT 1
- 16k model training configuration and 16k pre-trained model HOT 1
- 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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