自己做网站网站资源哪里来品牌网站都有哪些

技术介绍

PaddleSpeech是飞浆平台的一款TTS框架。

优点

开源、兼容的模版多，声音模型较多。

缺点

维护人员低、不能在torch下进行二次开发，框架的容错率比较低。

部署

基础环境的搭建

请参考Dokcer+Jupyter 部署算力服务

分步详解

国内镜像源切换

sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak sudo echo ``>sources.listsudo bash -c "cat << EOF > /etc/apt/sources.list && apt update
deb http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse
EOF"

所需环境1 g++

sudo apt install -y git
sudo apt install -y gcc
sudo apt-get install -y g++

所需环境2 vim

# 所需环境2
sudo apt update
sudo apt install -y libxml2
sudo apt install -y vim

所需环境3 cuda

cd /workspace
wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
sudo sh cuda_11.8.0_520.61.05_linux.run

所需环境4 cudnn

注意：我在使用过程中发现wget无法下载这个文件，我是自己用下载工具下载以后放进去的，这个文件800mb+

cd /workspace
wget https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.7/local_installers/11.x/cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz
tar -xvf cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz
cd cudnn-linux-x86_64-8.9.7.29_cuda11-archive/
sudo cp include/cudnn*.h /usr/local/cuda-11.8/include
sudo cp -P lib/libcudnn* /usr/local/cuda-11.8/lib64
sudo chmod a+r /usr/local/cuda-11.8/include/cudnn*.h /usr/local/cuda-11.8/lib64/libcudnn*

编辑环境变量

vim ~/.bashrc

在最后的部分加上

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export PATH=$PATH:/usr/local/cuda/bin
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda

刷新环境变量

source ~/.bashrc

所需环境5 ssl

cd /workspace
wget http://nz2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.1f-1ubuntu2_amd64.deb
sudo dpkg -i libssl1.1_1.1.1f-1ubuntu2_amd64.deb

源码拉取

cd /workspace
git clone https://github.com/PaddlePaddle/PaddleSpeech.git

PaddleSpeech环境安装

cd /workspace/PaddleSpeech
pip install .

部署文件分享

待定

DockerHub

待定