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Installation
There are 3 ways to use PaddleSpeech
. According to the degree of difficulty, the 3 ways can be divided into Easy, Medium, and Hard. You can choose one of the 3 ways to install PaddleSpeech
.
Way | Function | Support |
---|---|---|
Easy | (1) Use command-line functions of PaddleSpeech. (2) Experience PaddleSpeech on Ai Studio. |
Linux, Mac(not support M1 chip),Windows ( For more information about installation, see #1195) |
Medium | Support major functions ,such as using theready-made examples and using PaddleSpeech to train your model. |
Linux, Mac(not support M1 chip, not support training models),Windows (not support training models) |
Hard | Support full function of Paddlespeech, including using join ctc decoder with kaldi(asr2), training n-gram language model, Montreal-Forced-Aligner, and so on. And you are more able to be a developer! | Ubuntu |
Prerequisites
- Python >= 3.7
- PaddlePaddle latest version (please refer to the Installation Guide)
- C++ compilation environment
- Hip: For Linux and Mac, do not use command
sh
instead of commandbash
in installation document. - Hip: We recommand you to install
paddlepaddle
from https://mirror.baidu.com/pypi/simple and installpaddlespeech
from https://pypi.tuna.tsinghua.edu.cn/simple.
Easy: Get the Basic Function (Support Linux, Mac, and Windows)
- If you are newer to
PaddleSpeech
and want to experience it easily without your machine. We recommend you to use AI Studio to experience it. There is a step-by-step tutorial forPaddleSpeech
, and you can use the basic function ofPaddleSpeech
with a free machine. - If you want to use the command line function of Paddlespeech, you need to complete the following steps to install
PaddleSpeech
. For more information about how to use the command line function, you can see the cli.
Install Conda
Conda is a management system of the environment. You can go to minicoda (select a version py>=3.7) to download and install the conda.
And then Install conda dependencies for paddlespeech
:
conda install -y -c conda-forge sox libsndfile bzip2
Install C++ Compilation Environment
(If you already have C++ compilation environment, you can miss this step.)
Windows
You need to install Visual Studio
to make the C++ compilation environment.
https://visualstudio.microsoft.com/visual-cpp-build-tools/
You can also see #1195 for more help.
Mac
brew install gcc
Linux
# centos
sudo yum install gcc gcc-c++
# ubuntu
sudo apt install build-essential
# Others
conda install -y -c gcc_linux-64=8.4.0 gxx_linux-64=8.4.0
Install PaddleSpeech
Some users may fail to install kaldiio
due to the default download source, you can install pytest-runner
at first;
pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple
Then you can use the following commands:
pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
pip install paddlespeech -i https://pypi.tuna.tsinghua.edu.cn/simple
If you encounter problem with downloading nltk_data while using paddlespeech, it maybe due to your poor network, we suggest you download the nltk_data provided by us, and extract it to your
${HOME}
.
If you fail to install paddlespeech-ctcdecoders, you only can not use deepspeech2 model inference. For other models, it doesn't matter.
Medium: Get the Major Functions (Support Linux, mac and windows not support training)
If you want to get the major function of paddlespeech
, you need to do following steps:
Git clone PaddleSpeech
You need to git clone
this repository at first.
git clone https://github.com/PaddlePaddle/PaddleSpeech.git
cd PaddleSpeech
Install Conda
Conda is a management system of the environment. You can go to minicoda to select a version (py>=3.7). For windows, you can follow the installing guide step by step and for linux and mac, you can use the following commands:
# download the miniconda
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -P tools/
# install the miniconda
bash tools/Miniconda3-latest-Linux-x86_64.sh -b
# conda init
$HOME/miniconda3/bin/conda init
# activate the conda
bash
Then you can create a conda virtual environment using the following command:
conda create -y -p tools/venv python=3.7
Activate the conda virtual environment:
conda activate tools/venv
Install conda dependencies for paddlespeech
:
conda install -y -c conda-forge sox libsndfile swig bzip2
Install C++ Compilation Environment
(If you already have C++ compilation environment, you can miss this step.)
Do not forget to install gcc
and gxx
on your system.
You can choose to use the scripts below to install them.
# centos
sudo yum install gcc gcc-c++
# ubuntu
sudo apt install build-essential
# Others
conda install -y -c gcc_linux-64=8.4.0 gxx_linux-64=8.4.0
(Hip: Do not use the last script if you want to install by Hard way):
Install PaddlePaddle
You can choose the PaddlePaddle
version based on your system. For example, for CUDA 10.2, CuDNN7.5 install paddlepaddle-gpu develop:
python3 -m pip install paddlepaddle-gpu==0.0.0.post102 -f https://www.paddlepaddle.org.cn/whl/linux/gpu/develop.html
Install PaddleSpeech
You can install paddlespeech
by the following command,then you can use the ready-made
examples in paddlespeech
:
# Some users may fail to install `kaldiio` due to the default download source, you can install `pytest-runner` at first;
pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple
# Make sure you are in the root directory of PaddleSpeech
pip install . -i https://pypi.tuna.tsinghua.edu.cn/simple
Hard: Get the Full Function (Support Ubuntu)
Prerequisites
- Ubuntu >= 16.04.
- choice 1: working with
Ubuntu
Docker Container. - choice 2: working on
Ubuntu
withroot
privilege.
To avoid the trouble of environment setup, running in a Docker container is highly recommended. Otherwise, if you work on Ubuntu
with root
privilege, you can still complete the installation.
Choice 1: Running in Docker Container (Recommend)
Docker is an open-source tool to build, ship, and run distributed applications in an isolated environment. If you do not have a Docker environment, please refer to Docker. If you will use GPU version, you also need to install nvidia-docker.
We provide docker images containing the latest PaddleSpeech code, and all environment and package dependencies are pre-installed. All you have to do is to pull and run the docker image. Then you can enjoy PaddleSpeech without any extra steps.
Get these images and guidance in docker hub, including CPU, GPU, ROCm environment versions.
If you have some customized requirements about automatic building docker images, you can get it in github repo PaddlePaddle/PaddleCloud.
Choice 2: Running in Ubuntu with Root Privilege
- Install
build-essential
by apt
sudo apt install build-essential
- Clone this repository
git clone https://github.com/PaddlePaddle/PaddleSpeech.git
# Enter the PaddleSpeech dir
cd PaddleSpeech
Install the Conda
# download the miniconda
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -P tools/
# install the miniconda
bash tools/Miniconda3-latest-Linux-x86_64.sh -b
# conda init
$HOME/miniconda3/bin/conda init
# use the "bash" command to make the conda environment works
bash
# create a conda virtual environment
conda create -y -p tools/venv python=3.7
# Activate the conda virtual environment:
conda activate tools/venv
# Install the conda packages
conda install -y -c conda-forge sox libsndfile swig bzip2 libflac bc
Install PaddlePaddle
Some users may fail to install kaldiio
due to the default download source, you can install pytest-runner
at first;
pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple
Make sure you have GPU and the paddlepaddle version is right. For example, for CUDA 10.2, CuDNN7.5 install paddle develop:
python3 -m pip install paddlepaddle-gpu==0.0.0.post102 -f https://www.paddlepaddle.org.cn/whl/linux/gpu/develop.html
Install PaddleSpeech in Developing Mode
pip install -e .[develop] -i https://pypi.tuna.tsinghua.edu.cn/simple
Install the Kaldi (Optional)
pushd tools
bash extras/install_openblas.sh
bash extras/install_kaldi.sh
popd