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PaddleSpeech/demos/streaming_tts_server/README.md

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([简体中文](./README_cn.md)|English)
# Streaming Speech Synthesis Service
## Introduction
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.
## Usage
### 1. Installation
see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
It is recommended to use **paddlepaddle 2.2.1** or above.
You can choose one way from meduim and hard to install paddlespeech.
### 2. Prepare config File
The configuration file can be found in `conf/tts_online_application.yaml`.
- `protocol` indicates the network protocol used by the streaming TTS service. Currently, both **http and websocket** are supported.
- `engine_list` indicates the speech engine that will be included in the service to be started, in the format of `<speech task>_<engine type>`.
- This demo mainly introduces the streaming speech synthesis service, so the speech task should be set to `tts`.
- the engine type supports two forms: **online** and **online-onnx**. `online` indicates an engine that uses python for dynamic graph inference; `online-onnx` indicates an engine that uses onnxruntime for inference. The inference speed of online-onnx is faster.
- Streaming TTS engine AM model support: **fastspeech2 and fastspeech2_cnndecoder**; Voc model support: **hifigan and mb_melgan**
- In streaming am inference, one chunk of data is inferred at a time to achieve a streaming effect. Among them, `am_block` indicates the number of valid frames in the chunk, and `am_pad` indicates the number of frames added before and after am_block in a chunk. The existence of am_pad is used to eliminate errors caused by streaming inference and avoid the influence of streaming inference on the quality of synthesized audio.
- fastspeech2 does not support streaming am inference, so am_pad and am_block have no effect on it.
- fastspeech2_cnndecoder supports streaming inference. When am_pad=12, streaming inference synthesized audio is consistent with non-streaming synthesized audio.
- In streaming voc inference, one chunk of data is inferred at a time to achieve a streaming effect. Where `voc_block` indicates the number of valid frames in the chunk, and `voc_pad` indicates the number of frames added before and after the voc_block in a chunk. The existence of voc_pad is used to eliminate errors caused by streaming inference and avoid the influence of streaming inference on the quality of synthesized audio.
- 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=20, the streaming inference synthetic audio is consistent with the non-streaming synthetic audio; when voc_pad=14, the synthetic audio has no abnormal hearing.
- Inference speed: mb_melgan > hifigan; Audio quality: mb_melgan < hifigan
### 3. Streaming speech synthesis server and client using http protocol
#### 3.1 Server Usage
- Command Line (Recommended)
Start the service (the configuration file uses http by default):
```bash
paddlespeech_server start --config_file ./conf/tts_online_application.yaml
```
Usage:
```bash
paddlespeech_server start --help
```
Arguments:
- `config_file`: yaml file of the app, defalut: ./conf/tts_online_application.yaml
- `log_file`: log file. Default: ./log/paddlespeech.log
Output:
```bash
[2022-04-24 20:05:27,887] [ INFO] - The first response time of the 0 warm up: 1.0123658180236816 s
[2022-04-24 20:05:28,038] [ INFO] - The first response time of the 1 warm up: 0.15108466148376465 s
[2022-04-24 20:05:28,191] [ INFO] - The first response time of the 2 warm up: 0.15317344665527344 s
[2022-04-24 20:05:28,192] [ INFO] - **********************************************************************
INFO: Started server process [14638]
[2022-04-24 20:05:28] [INFO] [server.py:75] Started server process [14638]
INFO: Waiting for application startup.
[2022-04-24 20:05:28] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-24 20:05:28] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
[2022-04-24 20:05:28] [INFO] [server.py:211] Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
server_executor = ServerExecutor()
server_executor(
config_file="./conf/tts_online_application.yaml",
log_file="./log/paddlespeech.log")
```
Output:
```bash
[2022-04-24 21:00:16,934] [ INFO] - The first response time of the 0 warm up: 1.268730878829956 s
[2022-04-24 21:00:17,046] [ INFO] - The first response time of the 1 warm up: 0.11168622970581055 s
[2022-04-24 21:00:17,151] [ INFO] - The first response time of the 2 warm up: 0.10413002967834473 s
[2022-04-24 21:00:17,151] [ INFO] - **********************************************************************
INFO: Started server process [320]
[2022-04-24 21:00:17] [INFO] [server.py:75] Started server process [320]
INFO: Waiting for application startup.
[2022-04-24 21:00:17] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-24 21:00:17] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
[2022-04-24 21:00:17] [INFO] [server.py:211] Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
```
#### 3.2 Streaming TTS client Usage
- Command Line (Recommended)
Access http streaming TTS service:
```bash
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol http --input "您好,欢迎使用百度飞桨语音合成服务。" --output output.wav
```
Usage:
```bash
paddlespeech_client tts_online --help
```
Arguments:
- `server_ip`: erver ip. Default: 127.0.0.1
- `port`: server port. Default: 8092
- `protocol`: Service protocol, choices: [http, websocket], default: http.
- `input`: (required): Input text to generate.
- `spk_id`: Speaker id for multi-speaker text to speech. Default: 0
- `speed`: Audio speed, the value should be set between 0 and 3. Default: 1.0
- `volume`: Audio volume, the value should be set between 0 and 3. Default: 1.0
- `sample_rate`: Sampling rate, choices: [0, 8000, 16000], the default is the same as the model. Default: 0
- `output`: Output wave filepath. Default: None, which means not to save the audio to the local.
- `play`: Whether to play audio, play while synthesizing, default value: False, which means not playing. **Playing audio needs to rely on the pyaudio library**.
Output:
```bash
[2022-04-24 21:08:18,559] [ INFO] - tts http client start
[2022-04-24 21:08:21,702] [ INFO] - 句子:您好,欢迎使用百度飞桨语音合成服务。
[2022-04-24 21:08:21,703] [ INFO] - 首包响应0.18863153457641602 s
[2022-04-24 21:08:21,704] [ INFO] - 尾包响应3.1427218914031982 s
[2022-04-24 21:08:21,704] [ INFO] - 音频时长3.825 s
[2022-04-24 21:08:21,704] [ INFO] - RTF: 0.8216266382753459
[2022-04-24 21:08:21,739] [ INFO] - 音频保存至output.wav
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TTSOnlineClientExecutor
import json
executor = TTSOnlineClientExecutor()
executor(
input="您好,欢迎使用百度飞桨语音合成服务。",
server_ip="127.0.0.1",
port=8092,
protocol="http",
spk_id=0,
speed=1.0,
volume=1.0,
sample_rate=0,
output="./output.wav",
play=False)
```
Output:
```bash
[2022-04-24 21:11:13,798] [ INFO] - tts http client start
[2022-04-24 21:11:16,800] [ INFO] - 句子:您好,欢迎使用百度飞桨语音合成服务。
[2022-04-24 21:11:16,801] [ INFO] - 首包响应0.18234872817993164 s
[2022-04-24 21:11:16,801] [ INFO] - 尾包响应3.0013909339904785 s
[2022-04-24 21:11:16,802] [ INFO] - 音频时长3.825 s
[2022-04-24 21:11:16,802] [ INFO] - RTF: 0.7846773683635238
[2022-04-24 21:11:16,837] [ INFO] - 音频保存至:./output.wav
```
### 4. Streaming speech synthesis server and client using websocket protocol
#### 4.1 Server Usage
- Command Line (Recommended)
First modify the configuration file `conf/tts_online_application.yaml`, **set `protocol` to `websocket`**.
Start the service:
```bash
paddlespeech_server start --config_file ./conf/tts_online_application.yaml
```
Usage:
```bash
paddlespeech_server start --help
```
Arguments:
- `config_file`: yaml file of the app, defalut: ./conf/tts_online_application.yaml
- `log_file`: log file. Default: ./log/paddlespeech.log
Output:
```bash
[2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s
[2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s
[2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s
[2022-04-27 10:18:09,325] [ INFO] - **********************************************************************
INFO: Started server process [17600]
[2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600]
INFO: Waiting for application startup.
[2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
[2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_server import ServerExecutor
server_executor = ServerExecutor()
server_executor(
config_file="./conf/tts_online_application.yaml",
log_file="./log/paddlespeech.log")
```
Output:
```bash
[2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s
[2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s
[2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s
[2022-04-27 10:20:16,878] [ INFO] - **********************************************************************
INFO: Started server process [23466]
[2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466]
INFO: Waiting for application startup.
[2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
[2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://127.0.0.1:8092 (Press CTRL+C to quit)
```
#### 4.2 Streaming TTS client Usage
- Command Line (Recommended)
Access websocket streaming TTS service:
```bash
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol websocket --input "您好,欢迎使用百度飞桨语音合成服务。" --output output.wav
```
Usage:
```bash
paddlespeech_client tts_online --help
```
Arguments:
- `server_ip`: erver ip. Default: 127.0.0.1
- `port`: server port. Default: 8092
- `protocol`: Service protocol, choices: [http, websocket], default: http.
- `input`: (required): Input text to generate.
- `spk_id`: Speaker id for multi-speaker text to speech. Default: 0
- `speed`: Audio speed, the value should be set between 0 and 3. Default: 1.0
- `volume`: Audio volume, the value should be set between 0 and 3. Default: 1.0
- `sample_rate`: Sampling rate, choices: [0, 8000, 16000], the default is the same as the model. Default: 0
- `output`: Output wave filepath. Default: None, which means not to save the audio to the local.
- `play`: Whether to play audio, play while synthesizing, default value: False, which means not playing. **Playing audio needs to rely on the pyaudio library**.
Output:
```bash
[2022-04-27 10:21:04,262] [ INFO] - tts websocket client start
[2022-04-27 10:21:04,496] [ INFO] - 句子:您好,欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:21:04,496] [ INFO] - 首包响应0.2124948501586914 s
[2022-04-27 10:21:07,483] [ INFO] - 尾包响应3.199106454849243 s
[2022-04-27 10:21:07,484] [ INFO] - 音频时长3.825 s
[2022-04-27 10:21:07,484] [ INFO] - RTF: 0.8363677006141812
[2022-04-27 10:21:07,516] [ INFO] - 音频保存至output.wav
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TTSOnlineClientExecutor
import json
executor = TTSOnlineClientExecutor()
executor(
input="您好,欢迎使用百度飞桨语音合成服务。",
server_ip="127.0.0.1",
port=8092,
protocol="websocket",
spk_id=0,
speed=1.0,
volume=1.0,
sample_rate=0,
output="./output.wav",
play=False)
```
Output:
```bash
[2022-04-27 10:22:48,852] [ INFO] - tts websocket client start
[2022-04-27 10:22:49,080] [ INFO] - 句子:您好,欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:22:49,080] [ INFO] - 首包响应0.21017956733703613 s
[2022-04-27 10:22:52,100] [ INFO] - 尾包响应3.2304444313049316 s
[2022-04-27 10:22:52,101] [ INFO] - 音频时长3.825 s
[2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762
[2022-04-27 10:22:52,134] [ INFO] - 音频保存至:./output.wav
```