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 "C:\voice\demo_cli.py", line 83, in
embedding = encoder.embed_utterance(audio_waveform)
File "C:\voice\encoder\inference.py", line 144, in embed_utterance
frames = audio.wav_to_mel_spectrogram(wav)
File "C:\voice\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
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 "C:\voice\demo_cli.py", line 83, in
embedding = encoder.embed_utterance(audio_waveform)
File "C:\voice\encoder\inference.py", line 144, in embed_utterance
frames = audio.wav_to_mel_spectrogram(wav)
File "C:\voice\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