Found 1 GPUs available. Using GPU 0 (Tesla T4) of compute capability 7.5 with 15.8Gb total memory.
Preparing the encoder, the synthesizer and the vocoder...
Loaded encoder "encoder.pt" trained to step 1564501
Synthesizer using device: cuda
Building Wave-RNN
Trainable Parameters: 4.481M
Loading model weights at saved_models/default/vocoder.pt
Testing your configuration with small inputs.
Testing the encoder...
Traceback (most recent call last):
File "/content/Real-Time-Voice-Cloning/demo_cli.py", line 80, in
encoder.embed_utterance(np.zeros(encoder.sampling_rate))
File "/content/Real-Time-Voice-Cloning/encoder/inference.py", line 144, in embed_utterance
frames = audio.wav_to_mel_spectrogram(wav)
File "/content/Real-Time-Voice-Cloning/encoder/audio.py", line 58, in wav_to_mel_spectrogram
frames = librosa.feature.melspectrogram(
TypeError: melspectrogram() takes 0 positional arguments but 2 positional arguments (and 2 keyword-only arguments) were given
SuitGuy
commented
9 months ago
and i tried too and i got this
Running a test of your configuration...
Found 1 GPUs available. Using GPU 0 (Tesla T4) of compute capability 7.5 with 15.8Gb total memory.
Preparing the encoder, the synthesizer and the vocoder... Loaded encoder "encoder.pt" trained to step 1564501 Synthesizer using device: cuda Building Wave-RNN Trainable Parameters: 4.481M Loading model weights at saved_models/default/vocoder.pt Testing your configuration with small inputs. Testing the encoder... Traceback (most recent call last): File "/content/Real-Time-Voice-Cloning/demo_cli.py", line 80, in
encoder.embed_utterance(np.zeros(encoder.sampling_rate))
File "/content/Real-Time-Voice-Cloning/encoder/inference.py", line 144, in embed_utterance
frames = audio.wav_to_mel_spectrogram(wav)
File "/content/Real-Time-Voice-Cloning/encoder/audio.py", line 58, in wav_to_mel_spectrogram
frames = librosa.feature.melspectrogram(
TypeError: melspectrogram() takes 0 positional arguments but 2 positional arguments (and 2 keyword-only arguments) were given
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