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`.
| Easy | (1) Use command line functions of PaddleSpeech. <br> (2) Experience PaddleSpeech on Ai Studio. | Linux, Mac，Windows |
| Medium | Support major function，such as using the` ready-made `examples and using PaddleSpeech to train your own model. | Linux |
| Hard | Support full function of Paddlespeech，including training n-gram language model, montreal-forced-aligner and so on. And you are more able be a developer! | Ubuntu |
## Prerequisites
- Python >= 3.7
- PaddlePaddle latest version (please refer to the [Installation Guide] (https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html))
- Hip: For Linux and Mac, do not use command `sh` instead of command `bash`
- C++ compilation environment
- Hip: For Linux and Mac, do not use command `sh` instead of command `bash` in installation document.
## Easy: Get the Basic Function (Support Linux, Mac and Windows)
- If you are newer to `PaddleSpeech` and want to experience it easily without your own machine. We recommend you to use [AI Studio](https://aistudio.baidu.com/aistudio/index) to experience it. There is a step-by-step tutorial for `PaddleSpeech` and you can use the basic function of `PaddleSpeech` 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 command line function , you can see the [cli](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/cli).
### Install Conda
Conda is a management system of the environment. You can go to [minicoda](https://docs.conda.io/en/latest/miniconda.html) to install the conda.
Conda is a management system of the environment. You can go to [minicoda](https://docs.conda.io/en/latest/miniconda.html) (select a version py>=3.7) to download and install the conda.
And then Install conda dependencies for `paddlespeech` :
(If you already have C++ compilation environment, you can miss this step.)
#### Windows
Since some required pypi packages need C++ environment, you need to install the visual studio firstly.
You need to install the `Visual Studio` to make the C++ compilation environment.
#### Mac
```bash
@ -51,11 +55,9 @@ You can use the following command:
pip install paddlepaddle paddlespeech
```
- You can use the command line function of Paddlespeech. For more information, you can see the [cli](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/cli).
## Medium: Get the Major Function (Support Linux)
If you want to get the major function of `paddlespeech`. There are 3 steps you need to do.
If you want to get the major function of `paddlespeech`. There are 4 steps you need to do.
### Install Conda
Conda is a management system of the environment. You can go to [minicoda](https://docs.conda.io/en/latest/miniconda.html) to select a version (py>=3.7) and install it by yourself or you can use the following command:
@ -81,8 +83,10 @@ Install conda dependencies for `paddlespeech` :
(Hip: Do not use the last script if you want to install by **Hard** way):
### Install PaddlePaddle
For example, for CUDA 10.2, CuDNN7.5 install paddle 2.2.0:
You can choose the `PaddlePaddle` version based on your system. For example, for CUDA 10.2, CuDNN7.5 install paddlepaddle-gpu 2.2.0:
```bash
python3 -m pip install paddlepaddle-gpu==2.2.0
```
### Install PaddleSpeech
If you want to use the` ready-made `examples in `paddlespeech`, you need to clone this repository and install `paddlespeech` by the following commands:
You need to `git clone` this repository and install `paddlespeech` by the following commands，then you can use the `ready-made` examples in `paddlespeech`:
```bash
https://github.com/PaddlePaddle/PaddleSpeech.git
cd PaddleSpeech
pip install .
```
## Hard: Get the Full Function on Your Machine
## Hard: Get the Full Function (Support Ubuntu)
### Prerequisites
- Ubuntu >= 16.04.
- choice 1: working with `Ubuntu` Docker Container.
- choice 2: working on `Ubuntu` with `root` privilege.
To avoid the trouble of environment setup, [running in Docker container](#running-in-docker-container) is highly recommended. Otherwise, if you work on `Ubuntu` with `root` privilege, you can skip the next step.
To avoid the trouble of environment setup, running in 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 (Recommand)
Docker is an open-source tool to build, ship, and run distributed applications in an isolated environment. A Docker image for this project has been provided in [hub.docker.com](https://hub.docker.com) with all the dependencies installed. This Docker image requires the support of NVIDIA GPU, so please make sure its availability and the [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) has been installed.
Jackwaterveg
3 years ago
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