使用最新版本无修改
使用 的模型
出现报错
Traceback (most recent call last):
File "G:\MockingBirdzip\MockingBird-main\toolbox_init.py", line 111, in
func = lambda: self.load_from_browser(self.ui.browse_file())
File "G:\MockingBirdzip\MockingBird-main\toolboxinit.py", line 191, in load_from_browser
self.add_real_utterance(wav, name, speaker_name)
File "G:\MockingBirdzip\MockingBird-main\toolboxinit_.py", line 215, in add_real_utterance
embed, partial_embeds, _ = encoder.embed_utterance(encoder_wav, return_partials=True)
File "G:\MockingBirdzip\MockingBird-main\encoder\inference.py", line 164, in embed_utterance
partial_embeds = embed_frames_batch(frames_batch)
File "G:\MockingBirdzip\MockingBird-main\encoder\inference.py", line 62, in embed_frames_batch
frames = torch.from_numpy(frames_batch).to(_device)
RuntimeError: Numpy is not available

控制台全文C:\Users\admin\AppData\Local\Programs\Python\Python310\python.exe G:/MockingBirdzip/MockingBird-main/demo_toolbox.py
C:\Users\admin\AppData\Local\Programs\Python\Python310\lib\site-packages\torch_masked_init_.py:223: UserWarning: Failed to initialize NumPy: module compiled against API version 0xf but this version of numpy is 0xe (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:68.)
example_input = torch.tensor([[-3, -2, -1], [0, 1, 2]])
G:\MockingBirdzip\MockingBird-main\encoder\audio.py:13: UserWarning: Unable to import 'webrtcvad'. This package enables noise removal and is recommended.
warn("Unable to import 'webrtcvad'. This package enables noise removal and is recommended.")
Arguments:
datasets_root: None
vc_mode: False
enc_models_dir: encoder\saved_models
syn_models_dir: synthesizer\saved_models
voc_models_dir: vocoder\saved_models
extractor_models_dir: ppg_extractor\saved_models
convertor_models_dir: ppg2mel\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.
Loaded encoder "pretrained.pt" trained to step 1594501
Traceback (most recent call last):
File "G:\MockingBirdzip\MockingBird-main\toolbox_init.py", line 111, in
func = lambda: self.load_from_browser(self.ui.browse_file())
File "G:\MockingBirdzip\MockingBird-main\toolboxinit.py", line 191, in load_from_browser
self.add_real_utterance(wav, name, speaker_name)
File "G:\MockingBirdzip\MockingBird-main\toolboxinit_.py", line 215, in add_real_utterance
embed, partial_embeds, _ = encoder.embed_utterance(encoder_wav, return_partials=True)
File "G:\MockingBirdzip\MockingBird-main\encoder\inference.py", line 164, in embed_utterance
partial_embeds = embed_frames_batch(frames_batch)
File "G:\MockingBirdzip\MockingBird-main\encoder\inference.py", line 62, in embed_frames_batch
frames = torch.from_numpy(frames_batch).to(_device)
RuntimeError: Numpy is not available