issue
- Dominant language
- Python
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Description
D:\AI_python\MockingBird-main>python demo_toolbox.py
Arguments:
datasets_root: None
enc_models_dir: encoder\saved_models
syn_models_dir: synthesizer\saved_models
voc_models_dir: vocoder\saved_models
cpu: False
seed: None
no_mp3_support: False
Warning: you did not pass a root directory for datasets as argument.
The recognized datasets are:
LibriSpeech/dev-clean
LibriSpeech/dev-other
LibriSpeech/test-clean
LibriSpeech/test-other
LibriSpeech/train-clean-100
LibriSpeech/train-clean-360
LibriSpeech/train-other-500
LibriTTS/dev-clean
LibriTTS/dev-other
LibriTTS/test-clean
LibriTTS/test-other
LibriTTS/train-clean-100
LibriTTS/train-clean-360
LibriTTS/train-other-500
LJSpeech-1.1
VoxCeleb1/wav
VoxCeleb1/test_wav
VoxCeleb2/dev/aac
VoxCeleb2/test/aac
VCTK-Corpus/wav48
aidatatang_200zh/corpus/dev
aidatatang_200zh/corpus/test
aishell3/test/wav
magicdata/train
Feel free to add your own. You can still use the toolbox by recording samples yourself.
Traceback (most recent call last):
File "D:\AI_python\MockingBird-main\demo_toolbox.py", line 43, in
Toolbox(**vars(args))
File "D:\AI_python\MockingBird-main\toolbox\__init__.py", line 75, in __init__
self.reset_ui(enc_models_dir, syn_models_dir, voc_models_dir, seed)
File "D:\AI_python\MockingBird-main\toolbox\__init__.py", line 143, in reset_ui
self.ui.populate_models(encoder_models_dir, synthesizer_models_dir, vocoder_models_dir)
File "D:\AI_python\MockingBird-main\toolbox\ui.py", line 340, in populate_models
raise Exception("No synthesizer models found in %s" % synthesizer_models_dir)
Exception: No synthesizer models found in synthesizer\saved_models
这个是为什么啊?哪位大佬可以帮下,最后一步了。。
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with demo_toolbox.py, then inspect toolbox/__init__.py and toolbox/ui.py around the reported populate_models call. Check the configured synthesizer\saved_models path and run the toolbox again; done means the synthesizer model is detected and startup proceeds without the reported exception.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100