保姆级别教程（持续更新各类社区/非官方教程---- #20

zhuzaileiting · 2021-08-19T09:28:58Z

（作者借楼编辑ing
社区视频教程：
奶糖 https://www.bilibili.com/video/BV1dq4y137pH

babysor · 2021-08-19T09:56:52Z

再分享 #122

zhuzaileiting · 2021-08-19T10:04:46Z

播放都是杂音。。。。。。。。。。。。。 C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python synthesizer_train.py mandarin E:\datat\rain_set\train\ Arguments:     run_id:          mandarin     syn_dir:         E:\datat\rain_set\train\     models_dir:      synthesizer/saved_models/     save_every:      1000     backup_every:    25000     force_restart:   False     hparams: Checkpoint path: synthesizer\saved_models\mandarin\mandarin.pt Loading training data from: E:\datat\rain_set\train\train.txt Using model: Tacotron Using device: cpu Initialising Tacotron Model... Trainable Parameters: 30.872M Loading weights at synthesizer\saved_models\mandarin\mandarin.pt Tacotron weights loaded from step 0 Using inputs from:         E:\datat\rain_set\train\train.txt         E:\datat\rain_set\train\mels         E:\datat\rain_set\train\embeds Traceback (most recent call last):   File "synthesizer_train.py", line 35, in <module>     train(**vars(args))   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\train.py", line 111, in train     dataset = SynthesizerDataset(metadata_fpath, mel_dir, embed_dir, hparams)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\synthesizer_dataset.py", line 12, in __init__     with metadata_fpath.open("r", encoding="utf-8") as metadata_file:   File "C:\ProgramData\Anaconda3\lib\pathlib.py", line 1221, in open     return io.open(self, mode, buffering, encoding, errors, newline,   File "C:\ProgramData\Anaconda3\lib\pathlib.py", line 1077, in _opener     return self._accessor.open(self, flags, mode) FileNotFoundError: [Errno 2] No such file or directory: 'E:\\datat\\rain_set\\train\\train.txt' C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python demo_toolbox.py -d E:\data\train_set\train 2021-08-19 17:56:17.809226: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found 2021-08-19 17:56:17.809396: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. Arguments:     datasets_root:    E:\data\train_set\train     enc_models_dir:   encoder\saved_models     syn_models_dir:   synthesizer\saved_models     voc_models_dir:   vocoder\saved_models     cpu:              False     seed:             None     no_mp3_support:   False Warning: you do not have any of the recognized datasets in E:\data\train_set\train. The recognized datasets are:         LibriSpeech/dev-clean         LibriSpeech/dev-other         LibriSpeech/test-clean         LibriSpeech/test-other         LibriSpeech/train-clean-100         LibriSpeech/train-clean-360         LibriSpeech/train-other-500         LibriTTS/dev-clean         LibriTTS/dev-other         LibriTTS/test-clean         LibriTTS/test-other         LibriTTS/train-clean-100         LibriTTS/train-clean-360         LibriTTS/train-other-500         LJSpeech-1.1         VoxCeleb1/wav         VoxCeleb1/test_wav         VoxCeleb2/dev/aac         VoxCeleb2/test/aac         VCTK-Corpus/wav48         aidatatang_200zh/corpus/dev         aidatatang_200zh/corpus/test Feel free to add your own. You can still use the toolbox by recording samples yourself. Loaded encoder "pretrained.pt" trained to step 1564501 Synthesizer using device: cpu Trainable Parameters: 30.872M Traceback (most recent call last):   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\toolbox\__init__.py", line 122, in <lambda>     func = lambda: self.synthesize() or self.vocode()   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\toolbox\__init__.py", line 229, in synthesize     specs = self.synthesizer.synthesize_spectrograms(texts, embeds)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\inference.py", line 86, in synthesize_spectrograms     self.load()   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\inference.py", line 64, in load     self._model.load(self.model_fpath)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\models\tacotron.py", line 497, in load     self.load_state_dict(checkpoint["model_state"])   File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1223, in load_state_dict     raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Tacotron:         size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). | Generating 1/1 Done.

…

------------------ 原始邮件 ------------------ 发件人: "babysor/Realtime-Voice-Clone-Chinese" ***@***.***>; 发送时间: 2021年8月19日(星期四) 下午5:57 ***@***.***>; ***@***.***>;"State ***@***.***>; 主题: Re: [babysor/Realtime-Voice-Clone-Chinese] 来个保姆级别教程@@ (#20) 别害羞，快分享一下卡在哪里啦，我再优化优化 — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

zhuzaileiting · 2021-08-19T10:06:56Z

出一个详细的教程吧，大佬👍

…

---原始邮件--- 发件人: ***@***.***> 发送时间: 2021年8月19日(周四) 下午5:57 收件人: ***@***.***>; 抄送: ***@***.***>;"State ***@***.***>; 主题: Re: [babysor/Realtime-Voice-Clone-Chinese] 来个保姆级别教程@@ (#20) 别害羞，快分享一下卡在哪里啦，我再优化优化 — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

babysor · 2021-08-19T10:27:19Z

这。。看起来你都没train起来synthesizer啊

zhangji261 · 2021-08-19T12:18:43Z

同求，比如数据集在哪里下载

XiuChen-Liu · 2021-08-19T12:45:41Z

同求，比如数据集在哪里下载

#14 closed裡面有同樣的問題，有放下載連結

zhuzaileiting · 2021-08-20T02:00:23Z

E:\data\aidatatang_200zh\aidatatang_200zh\corpus\train 数据集解压路径这一步synthesizer_preprocess_audio.py有问题吗
C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>
python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh\aidatatang_200zh
Arguments:
datasets_root: E:\data\aidatatang_200zh\aidatatang_200zh
out_dir: E:\data\aidatatang_200zh\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
E:\data\aidatatang_200zh\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

babysor · 2021-08-20T02:14:31Z

E:\data\aidatatang_200zh\aidatatang_200zh\corpus\train 数据集解压路径这一步synthesizer_preprocess_audio.py有问题吗
C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>
python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh\aidatatang_200zh
Arguments:
datasets_root: E:\data\aidatatang_200zh\aidatatang_200zh
out_dir: E:\data\aidatatang_200zh\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
E:\data\aidatatang_200zh\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层

zhuzaileiting · 2021-08-20T02:59:52Z

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层
解决了

zhuzaileiting · 2021-08-20T03:00:14Z

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层
@解决了大佬

zhuzaileiting · 2021-08-22T22:17:22Z

这步也太慢了。。。
C:\Users\lxd\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python synthesizer_train.py mandarin D:\data\aidatatang_200zh\SV2TTS\synthesizer
Arguments:
run_id: mandarin
syn_dir: D:\data\aidatatang_200zh\SV2TTS\synthesizer
models_dir: synthesizer/saved_models/
save_every: 1000
backup_every: 25000
force_restart: False
hparams:

Checkpoint path: synthesizer\saved_models\mandarin\mandarin.pt
Loading training data from: D:\data\aidatatang_200zh\SV2TTS\synthesizer\train.txt
Using model: Tacotron
Using device: cpu

Initialising Tacotron Model...

Trainable Parameters: 30.872M

Loading weights at synthesizer\saved_models\mandarin\mandarin.pt
Tacotron weights loaded from step 0
Using inputs from:
D:\data\aidatatang_200zh\SV2TTS\synthesizer\train.txt
D:\data\aidatatang_200zh\SV2TTS\synthesizer\mels
D:\data\aidatatang_200zh\SV2TTS\synthesizer\embeds
Found 122482 samples
+----------------+------------+---------------+------------------+
| Steps with r=2 | Batch Size | Learning Rate | Outputs/Step (r) |
+----------------+------------+---------------+------------------+
| 20k Steps | 12 | 0.001 | 2 |
+----------------+------------+---------------+------------------+

{| Epoch: 1/2 (500/10207) | Loss: 0.9025 | 0.065 steps/s | Step: 0k | }Input at step 500: wo3 yao4 gei3 wang2 ming2 da3 dian4 hua4~__________________________________________________________
{| Epoch: 1/2 (1000/10207) | Loss: 0.8266 | 0.071 steps/s | Step: 1k | }Input at step 1000: na4 me wo3 jiu4 chong2 xin1 ren4 shi2 ni3~______________________________________________________________
{| Epoch: 1/2 (1500/10207) | Loss: 0.7602 | 0.074 steps/s | Step: 1k | }Input at step 1500: mei3 tian1 dou1 na4 me wan3 shui4 jiao4~___________________________________
{| Epoch: 1/2 (2000/10207) | Loss: 0.7415 | 0.075 steps/s | Step: 2k | }Input at step 2000: da3 dian4 hua4 gei3 deng4 han4 ling2~_________________________________________________________________________
{| Epoch: 1/2 (2500/10207) | Loss: 0.6921 | 0.068 steps/s | Step: 2k | }Input at step 2500: zhen1 xiang4 yong3 yuan3 zhi3 you3 yi2 ge4~___________________________________
{| Epoch: 1/2 (3000/10207) | Loss: 0.6741 | 0.072 steps/s | Step: 3k | }Input at step 3000: xia4 men2 wai4 guo2 yu3 xue2 xiao4 chu1 er4 nian2 ji2 chen2 xiao3 qi2 jia1 de zhu4 zhi3~
{| Epoch: 1/2 (3500/10207) | Loss: 0.6499 | 0.070 steps/s | Step: 3k | }Input at step 3500: ru2 guo3 wo3 he2 ni3 zai4 yi4 qi3~_______________________________________________________
{| Epoch: 1/2 (4000/10207) | Loss: 0.6679 | 0.073 steps/s | Step: 4k | }Input at step 4000: fu4 jin4 de ping2 an1 yin2 hang2~_________________________________
{| Epoch: 1/2 (4500/10207) | Loss: 0.6349 | 0.069 steps/s | Step: 4k | }Input at step 4500: ming2 zi4 shi4 hui3 guo4 cheng2 nuo4 shu1~_____________________________________________________
{| Epoch: 1/2 (5000/10207) | Loss: 0.6392 | 0.073 steps/s | Step: 5k | }Input at step 5000: wo3 shen2 me shi2 hou4 cai2 neng2 chong1 man3 dian4~_______________________
{| Epoch: 1/2 (5500/10207) | Loss: 0.6293 | 0.073 steps/s | Step: 5k | }Input at step 5500: wo3 da3 ni3 hao3 bu4 hao3 ma ge2 shi4 chong2 fu4~___________
{| Epoch: 1/2 (6000/10207) | Loss: 0.6715 | 0.077 steps/s | Step: 6k | }Input at step 6000: ci3 ji4 hao3 wu2 liao2 da3 yi1 dian4 ying3 ming2~___________________________________
{| Epoch: 1/2 (6500/10207) | Loss: 0.6446 | 0.075 steps/s | Step: 6k | }Input at step 6500: wo3 gei3 ni3 fa1 de ni3 shou1 dao4 le ma~___________________________________________________________
{| Epoch: 1/2 (7000/10207) | Loss: 0.6022 | 0.068 steps/s | Step: 7k | }Input at step 7000: ning4 que1 wu2 lan4 zhi3 wei4 yi3 hou4 de du2 yi1 wu2 er4~________________________
{| Epoch: 1/2 (7500/10207) | Loss: 0.6178 | 0.067 steps/s | Step: 7k | }Input at step 7500: mei2 you3 wang3 luo4 ni3 hai2 hui4 liao2 tian1 ma~______________________
{| Epoch: 1/2 (8000/10207) | Loss: 0.6041 | 0.068 steps/s | Step: 8k | }Input at step 8000: wo3 bu4 fa1 le wo3 yao4 shui4 jiao4 le~____________________________________________________________________________________________
{| Epoch: 1/2 (8500/10207) | Loss: 0.6078 | 0.072 steps/s | Step: 8k | }Input at step 8500: ni3 cai1 lai2 cai1 qu4 ye3 cai1 bu4 ming2 bai2~____________________________________________________
{| Epoch: 1/2 (9000/10207) | Loss: 0.6055 | 0.072 steps/s | Step: 9k | }Input at step 9000: ni3 wen4 le wo3 tou2 dou1 da4 le~_______________________________________
{| Epoch: 1/2 (9500/10207) | Loss: 0.5816 | 0.069 steps/s | Step: 9k | }Input at step 9500: xia4 ban1 mei2 you3 mei2 chu1 qu4 guang4~_______________________________________
{| Epoch: 1/2 (10000/10207) | Loss: 0.5664 | 0.068 steps/s | Step: 10k | }Input at step 10000: ni3 jin1 tian1 bu2 shi4 bu4 shang4 ban1 ma~__________________________________________________
{| Epoch: 1/2 (10207/10207) | Loss: 0.5879 | 0.071 steps/s | Step: 10k | }
{| Epoch: 2/2 (293/10207) | Loss: 0.5840 | 0.070 steps/s | Step: 10k | }Input at step 10500: ai4 qing2 xiao3 shuo1 ma2 que4 gao3 ding4 hua1 mei3 nan2~_________________________________
{| Epoch: 2/2 (322/10207) | Loss: 0.5892 | 0.070 steps/s | Step: 10k | }

miven · 2021-08-23T04:12:39Z

@zhuzaileiting 你这是用cpu训练的，GPU速度大概在1.3-2 steps/s

zhuzaileiting · 2021-08-23T06:25:20Z

...GPU，怎么配置显卡全局配置了呀。。

dukechain2333 · 2021-08-23T12:11:39Z

Arguments:
datasets_root: D:\Data\aidatatang_200zh
out_dir: D:\Data\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
D:\Data\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "D:\Realtime-Voice-Clone-Chinese\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

dukechain2333 · 2021-08-23T12:12:02Z

路径好像没啥问题啊

dukechain2333 · 2021-08-23T12:13:47Z

trian里是长这样的嘛

yuzd · 2021-08-24T01:29:23Z

有群吗一起交流下怎么跑

babysor · 2021-08-24T02:31:02Z

7天有效

hexiosr · 2021-08-31T08:47:18Z

7天有效

二维码过期了

oceanarium · 2021-08-31T14:57:17Z

7天有效

二维码过期了

josh-zhu · 2021-09-08T07:32:04Z

群二维码过期了，求更

JackChow6 · 2021-09-12T07:22:27Z

二维码过期了，求更

babysor · 2021-09-12T11:48:01Z

babysor · 2021-09-12T11:48:15Z

群二维码过期了，求更

见上

JackChow6 · 2021-09-12T15:28:15Z

群二维码过期了，求更

见上

谢谢你

chloe5685 · 2021-09-19T13:26:56Z

二维码失效了呜呜呜

babysor · 2021-09-19T17:01:37Z

@chloe5685

Notingnoone · 2022-10-13T15:49:18Z

请问训练合成器的时候有一步还是挺好的，怎么回退，然后接着训练，顺便再要一下群码

babysor · 2022-10-15T03:46:17Z

请问训练合成器的时候有一步还是挺好的，怎么回退，然后接着训练，顺便再要一下群码

找之前的保存点

HelloOnePiece · 2022-10-18T14:55:57Z

欢迎大家进群交流

ZhangHLong · 2022-10-28T03:23:42Z

Mac 上传本地音频文件时，发现有异常，有遇到的吗？怎么解啊！
File "/Users/zhangsan/miniconda3/lib/python3.9/site-packages/matplotlib/axes/_base.py", line 3613, in _validate_converted_limits
raise ValueError("Axis limits cannot be NaN or Inf")
ValueError: Axis limits cannot be NaN or Inf

GaverChou · 2022-12-12T10:03:01Z

求更新

ngbruce · 2022-12-13T03:07:03Z

请问能发一下群二维码吗？谢谢。

cyancity · 2023-01-05T09:38:34Z

求更新群二维码

babysor · 2023-01-16T03:25:38Z

dumojun101 · 2023-01-27T05:36:35Z

请问能发一下群二维码吗？谢谢。

BinLiang2021 · 2023-02-09T10:21:50Z

还有群么

sap6110 · 2023-02-24T16:53:09Z

还有群吗

impvd · 2023-03-07T11:20:29Z

求更新群二维码

yt605155624 · 2023-03-09T02:40:43Z

@BinLiang2021 @sap6110 @impvd

barretzhi · 2023-03-16T11:38:34Z

求更新群二维码

yt605155624 · 2023-03-16T15:10:36Z

wgfire · 2023-03-27T13:40:39Z

还有群吗，进群学习下

mengguyi · 2023-03-28T03:53:56Z

求更新群二维码

Cauvinist · 2023-03-29T03:09:34Z

求更新二维码

yt605155624 · 2023-03-29T03:12:28Z

MR-MaoJiu · 2023-04-09T01:28:46Z

过期了555555555

zhangmm2 · 2023-04-27T18:25:24Z

二维码都过期，小白求教

alihua123 · 2023-05-31T03:50:45Z

求更新二维码

joisonwk · 2023-06-17T10:28:21Z

求更新二维码

xixiaoyue · 2023-06-20T01:25:23Z

求带炼丹

PengChaoJay · 2023-08-15T11:32:37Z

求更新一波二维码

PengChaoJay · 2023-08-15T11:32:52Z

哪里可以炼丹

dorbodwolf · 2023-11-20T06:16:45Z

求更新二维码

zyzfred · 2024-04-07T08:21:07Z

求更新二维码

zyzfred · 2024-04-07T08:21:22Z

求更新二维码

zhuzaileiting closed this as completed Aug 19, 2021

babysor reopened this Aug 19, 2021

babysor mentioned this issue Sep 7, 2021

想要支持更多数据集？在这里提建议 #10

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保姆级别教程（持续更新各类社区/非官方教程---- #20

保姆级别教程（持续更新各类社区/非官方教程---- #20

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