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[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

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MuruganR96 opened this issue Mar 26, 2023 · 6 comments
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[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

MuruganR96 opened this issue Mar 26, 2023 · 6 comments
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@MuruganR96
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MuruganR96 commented Mar 26, 2023 •
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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: [email protected] 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

source_sovits

CONVERTED

converted_highlighted

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
@MuruganR96 MuruganR96 added the help wanted The issue author is asking for help label Mar 26, 2023
@NaruseMioShirakana
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试着去设置一下noise_scale和seed

@MuruganR96
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@NaruseMioShirakana 非常感谢您的精彩回复

By default taking noice_scale=0.4 and seed means which argument do I need to set?

默认情况下采用 noice_scale=0.4 和 seed 意味着我需要设置哪个参数？

@MuruganR96
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MuruganR96 commented Mar 28, 2023 •
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@NaruseMioShirakana 我尝试使用 noise_scale 0.0, 0.1, 0.4, 0.7, 1.0。但仍然是同样的问题。源音调未正确转换。失真发生

@NaruseMioShirakana @Erythrocyte3803 请帮助我，还有什么造成了问题？而且我觉得自然度不好。转换后的样本有点像机器人的味道。

I tried with noise_scale 0.0, 0.1, 0.4, 0.7, 1.0. but still the same issue. The source pitch is not converted correctly. distortion occurring

@NaruseMioShirakana @Erythrocyte3803 please help me, what else creating the problem? and I feel the naturalness is not good. converted samples coming kind of robotic flavor.

@NaruseMioShirakana
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@NaruseMioShirakana 我尝试使用 noise_scale 0.0, 0.1, 0.4, 0.7, 1.0。但仍然是同样的问题。源音调未正确转换。失真发生

@NaruseMioShirakana @Erythrocyte3803 请帮助我，还有什么造成了问题？而且我觉得自然度不好。转换后的样本有点像机器人的味道。

I tried with noise_scale 0.0, 0.1, 0.4, 0.7, 1.0. but still the same issue. The source pitch is not converted correctly. distortion occurring

@NaruseMioShirakana @Erythrocyte3803 please help me, what else creating the problem? and I feel the naturalness is not good. converted samples coming kind of robotic flavor.

可以发一个示例音频吗

@xiancaoro
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关于”不需要的失真“以及”高音未正常转换“的问题，我在最初也有遇见过，这是我的解决方案，不知道是否能够帮助到你：
首先，我优化了数据集的质量，我选取了250条10s~20s的纯人声语音，最大程度的剔除了背景杂音与不够清晰的人声。数据集的质量越高，最后模型的效果越好。（最初，我只选取了40条15s的歌唱干声，数据集存在失真、不够清晰、伴奏未完全去除、存在部分和音的问题，优化后的数据集舍弃了所有这类数据）。
其次，用于推理的音频本身也需要保障高质量，存在和声未去除干净或高音不清晰的音频会严重影响推理结果。
最后，我的推理均采用了默认参数，为了保障契合音色，没有采用聚合模型。
补充说明：我训练的迭代次数是12000次，并没有与其他次数的模型做对比。
希望我个人的经历可以帮助到您！

@xiancaoro
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关于”不需要的失真“以及”高音未正常转换“的问题，我在最初也有遇见过，这是我的解决方案，不知道是否能够帮助到你： 首先，我优化了数据集的质量，我选取了250条10s~20s的纯人声语音，最大程度的剔除了背景杂音与不够清晰的人声。数据集的质量越高，最后模型的效果越好。（最初，我只选取了40条15s的歌唱干声，数据集存在失真、不够清晰、伴奏未完全去除、存在部分和音的问题，优化后的数据集舍弃了所有这类数据）。 其次，用于推理的音频本身也需要保障高质量，存在和声未去除干净或高音不清晰的音频会严重影响推理结果。 最后，我的推理均采用了默认参数，为了保障契合音色，没有采用聚合模型。 补充说明：我训练的迭代次数是12000次，并没有与其他次数的模型做对比。 希望我个人的经历可以帮助到您！

注：我采用的人声提纯项目为：https://github.com/Anjok07/ultimatevocalremovergui.git

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