自己训练wavernn声码器代码有bug

[hujb2000]

C:\ProgramData\Anaconda3\envs\mockingbird\python.exe E:\workspace\MockingBird\control\cli\vocoder_train.py my_run e:\datasets Traceback (most recent call last): File "E:\workspace\MockingBird\control\cli\vocoder_train.py", line 4, in from models.vocoder.fregan.train import train as train_fregan File "E:\workspace\MockingBird\models\vocoder\fregan\train.py", line 15, in from models.vocoder.fregan.discriminator import ResWiseMultiPeriodDiscriminator, ResWiseMultiScaleDiscriminator File "E:\workspace\MockingBird\models\vocoder\fregan\discriminator.py", line 6, in from models.vocoder.fregan.utils import get_padding ImportError: cannot import name 'get_padding' from 'models.vocoder.fregan.utils' (E:\workspace\MockingBird\models\vocoder\fregan\utils.py)

Process finished with exit code 1

[hujb2000]

get_padding 从老版本代码中恢复，但hpparams参数配置不匹配。

运行以下命令日志如下： C:\ProgramData\Anaconda3\envs\mockingbird\python.exe E:\workspace\MockingBird\control\cli\vocoder_train.py my_run e:\datasets wavernn -m E:\workspace\MockingBird\data\ckpt\vocoder\saved_models Traceback (most recent call last): File "E:\workspace\MockingBird\control\cli\vocoder_train.py", line 68, in train(**vars(args)) File "E:\workspace\MockingBird\models\vocoder\wavernn\train.py", line 21, in train assert np.cumprod(hp.voc_upsample_factors)[-1] == hp.hop_length AssertionError Arguments: run_id: my_run vocoder_type: wavernn syn_dir: e:\datasets\SV2TTS\synthesizer voc_dir: e:\datasets\SV2TTS\vocoder models_dir: E:\workspace\MockingBird\data\ckpt\vocoder\saved_models ground_truth: False save_every: 1000 backup_every: 25000 force_restart: False config: models/vocoder/hifigan/config_16k_.json

256 200

Process finished with exit code 1

可以修改models/synthesizer/hpparams.py中voc_upsample_factors = (5, 5, 8) 参数为： voc_upsample_factors = (4, 8, 8)吗？

[xixiaoyue]

你好，请问问题解决了吗

[HaSaKiYasuooo]

你好，请问问题解决了吗

我也遇到了这个问题，请问怎么解决

[2265290305]

我也遇到了这个问题

[kaleidosgu]

我也碰到了这个问题。后来是在工程中 discriminator.py进行修改。 变更了如下代码。 但是之后会碰到上面那位voc_upsample_factors 的问题 可能需要更改models\synthesizer\hparams.py的hop_size为200

# from models.vocoder.fregan.utils import get_padding
from utils.util import get_padding