- web demo for Text to Speech is integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See Demo: https://huggingface.co/spaces/akhaliq/paddlespeech
If you want to try more functions like training and tuning, please have a look at documents of [Speech-to-Text](./docs/source/asr/quick_start.md) and [Text-to-Speech](./docs/source/tts/quick_start.md).
If you want to try more functions like training and tuning, please have a look at [Speech-to-Text Quick Start](./docs/source/asr/quick_start.md) and [Text-to-Speech Quick Start](./docs/source/tts/quick_start.md).
## Model List
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@@ -258,15 +261,15 @@ The current hyperlinks redirect to [Previous Parakeet](https://github.com/Paddle
<table>
<thead>
<tr>
<th> Text-to-Speech Module Type <imgwidth="110"height="1"></th>
There are 3 ways to use `PaddleSpeech`. According to the degree of difficulty, the 3 ways can be divided into `Easy`, `Medium` and `Hard`.
There are 3 ways to use `PaddleSpeech`. According to the degree of difficulty, the 3 ways can be divided into **Easy**, **Medium** and **Hard**.
## Easy: Get the Basic Funcition Without Your Own Mechine
If you are a newer of `PaddleSpeech` and want to experience it easily without your own mechine. We recommand 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.
## Easy: Get the Basic Function without Your Own Machine
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.
## Prerequisites for Medium and Hard
- Python >= 3.7
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@@ -10,11 +10,11 @@ If you are a newer of `PaddleSpeech` and want to experience it easily without yo
- Only Linux is supported
- Hip: Do not use command `sh` instead of command `bash`
## Medium: Get the Basic Funciton on Your Mechine
If you want to install `paddlespeech` on your own mechine. There are 3 steps you need to do.
## Medium: Get the Basic Function on Your Machine
If you want to install `paddlespeech` on your own machine. There are 3 steps you need to do.
### Install the Conda
Conda is environment management system. 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:
### 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:
For example, for CUDA 10.2, CuDNN7.5 install paddle 2.2.0:
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@@ -43,30 +50,27 @@ For example, for CUDA 10.2, CuDNN7.5 install paddle 2.2.0:
python3 -m pip install paddlepaddle-gpu==2.2.0
```
### Install PaddleSpeech
To Install `paddlespeech`, there are two methods. You can use the following command:
To install `paddlespeech`, there are two methods. You can use the following command:
```bash
pip install paddlespeech
```
If you install `paddlespeech` by `pip`, you can use it to help you build your own model. However, you can not use the `ready-made `examples in paddlespeech.
If you install `paddlespeech` by `pip`, you can use it to help you build your model. However, you can not use the `ready-made `examples in paddlespeech.
If you want to use the` ready-made `examples in `paddlespeech`, you need to clone this repository and install `paddlespeech` by the foll
If you want to use the` ready-made `examples in `paddlespeech`, you need to clone this repository and install `paddlespeech` by the following commands:
```bash
https://github.com/PaddlePaddle/PaddleSpeech.git
cd PaddleSpeech
pip install .
```
## Hard: Get the Full Funciton on Your Mechine
## Hard: Get the Full Function on Your Machine
### Prerequisites
- choice 1: working with `Ubuntu` Docker Container.
or
- 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](#running-in-docker-container) is highly recommended. Otherwise, if you work on `Ubuntu` with `root` privilege, you can skip the next step.
### 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 availiability and the [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) has been installed.
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.
Take several steps to launch the Docker image:
- Download the Docker image
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@@ -115,7 +119,7 @@ For example, for CUDA 10.2, CuDNN7.5 install paddle 2.2.0:
@@ -129,7 +129,7 @@ class DeepSpeech2Model(nn.Layer):
rnn_layer_size=1024,#RNN layer size (number of RNN cells).
use_gru=True,#Use gru if set True. Use simple rnn if set False.
share_rnn_weights=True,#Whether to share input-hidden weights between forward and backward directional RNNs.Notice that for GRU, weight sharing is not supported.
