[Help]: 4.0 不工作。在转换后的音频中引入不需要的失真。源音高未正确转换。4.0 Not working. introducing unwanted distortion in converted audio. source pitch not properly converted.
#89 aperta il 26 mar 2023
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Descrizione
Please check the checkboxes below.
- I have read README.md and Quick solution in wiki carefully.
- I have been troubleshooting issues through various search engines. The questions I want to ask are not common.
- I am NOT using one click package / environment package.
OS version
Linux e2e-99-151 4.15.0-206-generic #217-Ubuntu SMP Fri Feb 3 19:10:13 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
GPU
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 525.60.13 Driver Version: 525.60.13 CUDA Version: 12.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA A100 80G... Off | 00000000:01:01.0 Off | On | | N/A 36C P0 93W / 300W | 10627MiB / 81920MiB | N/A Default | | | | Enabled | +-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+ | MIG devices: | +------------------+----------------------+-----------+-----------------------+ | GPU GI CI MIG | Memory-Usage | Vol| Shared | | ID ID Dev | BAR1-Usage | SM Unc| CE ENC DEC OFA JPG| | | | ECC| | |==================+======================+===========+=======================| | 0 3 0 0 | 8324MiB / 19968MiB | 14 0 | 1 0 1 0 0 | | | 2MiB / 32767MiB | | | +------------------+----------------------+-----------+-----------------------+ | 0 4 0 1 | 6MiB / 19968MiB | 14 0 | 1 0 1 0 0 | | | 0MiB / 32767MiB | | | +------------------+----------------------+-----------+-----------------------+ | 0 5 0 2 | 6MiB / 19968MiB | 14 0 | 1 0 1 0 0 | | | 0MiB / 32767MiB | | | +------------------+----------------------+-----------+-----------------------+ | 0 6 0 3 | 2290MiB / 19968MiB | 14 0 | 1 0 1 0 0 | | | 2MiB / 32767MiB | | | +------------------+----------------------+-----------+-----------------------+
+-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 3 0 16814 C /root/anaconda3/bin/python 8312MiB | | 0 6 0 5768 C python3 2276MiB | +-----------------------------------------------------------------------------+
Python version
Python 3.8.16
PyTorch version
Name: torch Version: 1.13.1 Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Home-page: https://pytorch.org/ Author: PyTorch Team Author-email: packages@pytorch.org License: BSD-3 Location: /root/anaconda3/envs/SOVITS/lib/python3.8/site-packages Requires: nvidia-cublas-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, typing-extensions Required-by: fairseq, torchaudio, torchvision, triton
Branch of sovits
4.0(Default)
Dataset source (Used to judge the dataset quality)
Recorded in recording studio
Where thr problem occurs or what command you executed
python inference_main.py -m "logs/44k/G_200000.pth" -c "configs/config.json" -n "source.wav" -t 0 -s "aki" -a -cr 0.5
Problem description
introducing unwanted distortion in converted audio. source pitch not properly converted.
4.0 version not working properly. Please help me
4.0 不工作。在转换后的音频中引入不需要的失真。源音高未正确转换。
请帮我
Log
python inference_main.py -m "logs/44k/G_200000.pth" -c "configs/config.json" -n "source.wav" -t 0 -s "aki" -a -cr 0.5
load model(s) from hubert/checkpoint_best_legacy_500.pt
INFO:fairseq.tasks.text_to_speech:Please install tensorboardX: pip install tensorboardX
INFO:fairseq.tasks.hubert_pretraining:current directory is /root/Experiments/NewExperiments/so-vits-svc-4.0-mean-spk-emb
INFO:fairseq.tasks.hubert_pretraining:HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', '
fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': Fals
e, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target':
False, 'random_crop': True, 'pad_audio': False}
INFO:fairseq.models.hubert.hubert:HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default,
'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activati
on_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_l
ayerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_
first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_tem
p': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, '
mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'm
ask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1
, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': Fals
e, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', '
pos_enc_type': 'abs', 'fp16': False}
load
INFO:root:Loaded checkpoint 'logs/44k/G_200000.pth' (iteration 574)
spk_list ===> ['sai_dharam_tej']
#=====segment start, 5.82s======
vits use time:1.1171600818634033
#=====segment start, 3.4s======
vits use time:0.19401907920837402
#=====segment start, 0.025s======
jump empty segment
#=====segment start, 4.6s======
vits use time:0.269317626953125
#=====segment start, 5.0s======
vits use time:0.1455228328704834
#=====segment start, 4.28s======
vits use time:0.12343764305114746
#=====segment start, 0.012s======
jump empty segment
#=====segment start, 8.92s======
vits use time:0.17324042320251465
#=====segment start, 5.66s======
vits use time:0.14951491355895996
#=====segment start, 1.66s======
vits use time:0.1753239631652832
#=====segment start, 0.013s======
jump empty segment
#=====segment start, 7.78s======
vits use time:0.14623379707336426
#=====segment start, 6.74s======
vits use time:0.12516403198242188
#=====segment start, 0.009s======
jump empty segment
#=====segment start, 5.1s======
vits use time:0.18128347396850586
#=====segment start, 0.002s======
jump empty segment
#=====segment start, 6.12s======
vits use time:0.1354503631591797
#=====segment start, 6.46s======
vits use time:0.1435403823852539
#=====segment start, 7.08s======
vits use time:0.12348651885986328
#=====segment start, 4.66s======
vits use time:0.1376965045928955
#=====segment start, 5.56s======
vits use time:0.1471116542816162
#=====segment start, 0.013s======
jump empty segment
#=====segment start, 7.1s======
vits use time:0.18711566925048828
#=====segment start, 0.01s======
jump empty segment
#=====segment start, 5.484s======
vits use time:0.13010954856872559
#=====segment start, 6.54s======
vits use time:0.11691427230834961
#=====segment start, 8.96s======
vits use time:0.20655536651611328
#=====segment start, 6.52s======
vits use time:0.17476463317871094
#=====segment start, 5.14s======
vits use time:0.18201518058776855
#=====segment start, 5.56s======
vits use time:0.10942959785461426
#=====segment start, 13.42s======
vits use time:0.26901769638061523
#=====segment start, 0.009s======
jump empty segment
Screenshot so-vits-svc and logs/44k folders and paste here
SOURCE
CONVERTED
Supplementary description
Almost all the converted samples pitch not converted properly. it is a major issue. please check this immediately friends
几乎所有转换后的样本音高都没有正确转换。这是一个重大问题。请朋友们立即查看