This demo is an implementation of starting the voice service and accessing the service. It can be achieved with a single command using `paddlespeech_server` and `paddlespeech_client` or a few lines of code in python.
For service interface definition, please check:
- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API)
## Usage
### 1. Installation
see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
It is recommended to use **paddlepaddle 2.2.2** or above.
It is recommended to use **paddlepaddle 2.3.1** or above.
You can choose one way from easy, meduim and hard to install paddlespeech.
**If you install in simple mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.**
**If you install in easy mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.**
### 2. Prepare config File
The configuration file can be found in `conf/application.yaml` .
Get all models supported by the ASR service via `paddlespeech_server stats --task asr`, where static models can be used for paddle inference inference.
By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively.
@ -423,11 +426,11 @@ bash server.sh
If `127.0.0.1` is not accessible, you need to use the actual service IP address.
This demo is an implementation of starting the streaming speech synthesis service and accessing the service. It can be achieved with a single command using `paddlespeech_server` and `paddlespeech_client` or a few lines of code in python.
For service interface definition, please check:
- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API)
- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API)
## Usage
### 1. Installation
see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
It is recommended to use **paddlepaddle 2.2.2** or above.
It is recommended to use **paddlepaddle 2.3.1** or above.
You can choose one way from easy, meduim and hard to install paddlespeech.
**If you install in simple mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.**
**If you install in easy mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.**
### 2. Prepare config File
The configuration file can be found in `conf/tts_online_application.yaml`.
@ -29,11 +33,10 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- Both hifigan and mb_melgan support streaming voc inference.
- When the voc model is mb_melgan, when voc_pad=14, the synthetic audio for streaming inference is consistent with the non-streaming synthetic audio; the minimum voc_pad can be set to 7, and the synthetic audio has no abnormal hearing. If the voc_pad is less than 7, the synthetic audio sounds abnormal.
- When the voc model is hifigan, when voc_pad=19, the streaming inference synthetic audio is consistent with the non-streaming synthetic audio; when voc_pad=14, the synthetic audio has no abnormal hearing.
- Pad calculation method of streaming vocoder in PaddleSpeech: [AIStudio tutorial](https://aistudio.baidu.com/aistudio/projectdetail/4151335)
- **Note:** If the service can be started normally in the container, but the client access IP is unreachable, you can try to replace the `host` address in the configuration file with the local IP address.
### 3. Streaming speech synthesis server and client using http protocol
#### 3.1 Server Usage
- Command Line (Recommended)
@ -53,7 +56,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-24 21:00:17] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
#### 3.2 Streaming TTS client Usage
@ -125,7 +126,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- Currently, only the single-speaker model is supported in the code, so `spk_id` does not take effect. Streaming TTS does not support changing sample rate, variable speed and volume.
TianYuan
2 years ago
committed by
GitHub