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tacotron_biaobeidata's Introduction

Tacotron_BiaobeiData

An implementation of Tacotron speech synthesis using Biaobei data.

基于https://github.com/begeekmyfriend/tacotron/tree/mandarin

数据

使用最新发布的标贝数据,在此下载: http://www.data-baker.com/open_source.html

下载后直接解压到项目的根目录下。项目需要使用到的数据是Wave文件夹下的语音文件和ProsodyLabeling文件夹下的语音标注文本。为了方便使用,将标注文本直接复制到Wave文件夹下。

建议:安装TensorFlow-gpu

预处理

pip install requirements.txt

python3 preprocess.py --dataset biaobei

预处理完会自动生成一个training文件夹。

训练

python3 train.py --name biaobei

tacotron_biaobeidata's People

Contributors

freshzy avatar

Stargazers

 avatar  avatar Chris Towles avatar

tacotron_biaobeidata's Issues

请问模型大概训练多少步可以收敛?

你好,非常感谢你提供的代码,但是,我遇到一点问题,模型已经训练了7k步,loss值在1左右,alignment图仍然是一团模糊,
step-2000-align
但是之前训练英文模型的时候,大概在7k左右alignment图就很明显了,请问我是不是应该修改一些什么参数使模型可以更快收敛?
step-7000-align

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