Sorry if I am asking the repeated question as I am just a beginner.

I followed the readme until the wav2mel.py requires two folders where I believe there are training data from some other websites. I would appreciate if you could share the link for place where I can download the data, or you could email me the information via [email protected]

Thank you very much.

waveglow/ 里面的hubconf.py 200行 ckpt = torch.load(ckpt_file) 报错： RuntimeError: unexpected EOF, expected 459824 more bytes. The file might be corrupted. ckpt文件有问题了？ 我的是ubuntu 2020, cuda version:11.3

Here is my colab file, I am stuck at the

%run ../../mtts/train.py -c config.yaml -d cuda

It says 'No such file or directory: '../../mel_folder/SSB10560130.npy'

Include please find my colab file.

https://colab.research.google.com/drive/13gXl3NQSz97Fl__9wmCQJulEODD7Xe5-?usp=sharing

firstly, thinks for your great work. just like the title says, for example: 001464|sil wo3 dou1 hui4 shuo1 er2 hua4 yin1 le5 sp1 zher4 ne5 sp1 mingr2 jian4 sp1 hai2 bu2 cuo4 ba5 sil
001464|sil 我 都 会 说 儿 化 音 了 sp1 这 儿 sp1 呢 明 sp1 儿 见 还 不 sil

zip: [('sil', 'sil'), ('我', 'wo3'), ('都', 'dou1'), ('会', 'hui4'), ('说', 'shuo1'), ('儿', 'er2'), ('化', 'hua4'), ('音', 'yin1'), ('了', 'le5'), ('sp1', 'sp1'), ('这', 'zher4'), ('儿', 'ne5'), ('sp1', 'sp1'), ('呢', 'mingr2'), ('明', 'jian4'), ('sp1', 'sp1'), ('儿', 'hai2'), ('见', 'bu2'), ('还', 'cuo4'), ('不', 'ba5'), ('sil', 'sil')]

'zher4' should respect to '这儿' , and there misses some hanzi in the tail. do you think it matters?

Hi Author,

During testing, I notice the audio folder is leaked, and I got it from original FastSpeech2 reop to make the demo working. Could you upload that package?

Thanks, John

2022-02-27 19:08:54,545 synthesize.py: INFO: processing text1|sil qing3 xie4 guo2 jun4 dao4 VIP5 ba1 zhen3 shi4 jiu4 zhen3 sil|sil 请 谢 国 俊 到 V I P 八 诊 室 就 诊 sil|0 Traceback (most recent call last): File "../../mtts/synthesize.py", line 93, in name, tokens = text_processor(line) File "/home/xgj/mandarin-tts/mtts/text/text_processor.py", line 41, in call return self._process(input) File "/home/xgj/mandarin-tts/mtts/text/text_processor.py", line 35, in _process tokens = tokenizer.tokenize(seg) File "/home/xgj/mandarin-tts/mtts/datasets/dataset.py", line 61, in tokenize tokens = [self.v2i[t] for t in text.split()] File "/home/xgj/mandarin-tts/mtts/datasets/dataset.py", line 61, in tokens = [self.v2i[t] for t in text.split()] KeyError: 'VIP5'

Traceback (most recent call last): File "../../mtts/train.py", line 10, in from torch.utils.tensorboard import SummaryWriter File "/usr/local/lib/python3.7/site-packages/torch/utils/tensorboard/init.py", line 4, in LooseVersion = distutils.version.LooseVersion AttributeError: module 'distutils' has no attribute 'version'

$ python ../../mtts/synthesize.py -d cuda --c config.yaml --checkpoint ./checkpoints/checkpoint_1240000.pth.tar -i input.txt usage: synthesize.py [-h] [-i INPUT] [--duration DURATION] [--output_dir OUTPUT_DIR] --checkpoint CHECKPOINT [-c CONFIG] [-d {cuda,cpu}] synthesize.py: error: ambiguous option: --c could match --checkpoint, --config

在aishell3数据中,有些wav文件通过librosa生成振幅向量的时候,振幅大小会超过1 如: SSB08870032.wav 文件的最大振幅为1.0116 导致运行wav2mel.py的时候会中断报错.

具体问题如下: 文件 /mtts/utils/stft.py 第248 、249行 为什么要对wav的振幅向量限制在[-1,1]呢 ?

error: invalid path 'docs/novel2/hz_0.9_500000_在这儿做啥呢,不能啥玩意儿都带到这里来?.wav' fatal: unable to checkout working tree warning: Clone succeeded, but checkout failed. You can inspect what was checked out with 'git status' and retry with 'git restore --source=HEAD :/'

mandarin-tts/mtts/models/layers.py", line 91, in forward
    output = output.permute(1, 2, 0, 3).contiguous().view(sz_b, len_q, -1)  # b x lq x (n*dv)
RuntimeError: cannot reshape tensor of 0 elements into shape [0, 8, -1] because the unspecified dimension size -1 can be any value and is ambiguous

你好作者，感谢你的无私分享。在复现的工作的时候初心一些小问题，在使用wav2mel.py的文件时，会用到一个一些函数，但是函数终会需要vocoder的一些gan模型，这些模型没有在给的文件中，我需要下载readme中的checkpoint还是link？ ImportError: cannot import name 'HiFiGAN' from 'mtts.models.vocoder.hifi_gan' (unknown location)