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[server] update streaming demos readme
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159
demos/streaming_tts_server/README.md
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@ -16,7 +16,7 @@ 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.
- `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.
@ -31,12 +31,12 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- Inference speed: mb_melgan > hifigan; Audio quality: mb_melgan < hifigan
### 3. Server Usage
### 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
# start the service
paddlespeech_server start --config_file ./conf/tts_online_application.yaml
```
@ -76,7 +76,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
log_file="./log/paddlespeech.log")
```
Output:
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
@ -94,17 +94,15 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
```
### 4. Streaming TTS client Usage
#### 3.2 Streaming TTS client Usage
- Command Line (Recommended)
```bash
# Access http streaming TTS service
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav
Access http streaming TTS service:
# Access websocket streaming TTS service
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
```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
@ -122,7 +120,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- `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
@ -165,8 +162,144 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
[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
```

160
demos/streaming_tts_server/README_cn.md
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@ -1,4 +1,4 @@
([简体中文](./README_cn.md)|English)
(简体中文|[English](./README.md))
# 流式语音合成服务
@ -16,11 +16,11 @@
### 2. 准备配置文件
配置文件可参见 `conf/tts_online_application.yaml` 。
- `protocol`表示该流式TTS服务使用的网络协议，目前支持 http 和 websocket 两种。
- `protocol`表示该流式TTS服务使用的网络协议，目前支持 **http 和 websocket** 两种。
- `engine_list`表示即将启动的服务将会包含的语音引擎，格式为 <语音任务>_<引擎类型>。
- 该demo主要介绍流式语音合成服务，因此语音任务应设置为tts。
- 目前引擎类型支持两种形式：**online** 表示使用python进行动态图推理的引擎；**online-onnx** 表示使用onnxruntime进行推理的引擎。其中，online-onnx的推理速度更快。
- 流式TTS引擎的AM模型支持：fastspeech2 以及fastspeech2_cnndecoder; Voc 模型支持：hifigan, mb_melgan
- 流式TTS引擎的AM模型支持：**fastspeech2 以及fastspeech2_cnndecoder**; Voc 模型支持：**hifigan, mb_melgan**
- 流式am推理中，每次会对一个chunk的数据进行推理以达到流式的效果。其中`am_block`表示chunk中的有效帧数，`am_pad` 表示一个chunk中am_block前后各加的帧数。am_pad的存在用于消除流式推理产生的误差，避免由流式推理对合成音频质量的影响。
- fastspeech2不支持流式am推理，因此am_pad与am_block对它无效
- fastspeech2_cnndecoder 支持流式推理，当am_pad=12时，流式推理合成音频与非流式合成音频一致
@ -30,11 +30,12 @@
- 当voc模型为hifigan，当voc_pad=20时，流式推理合成音频与非流式合成音频一致；当voc_pad=14时，合成音频听感上没有异常。
- 推理速度：mb_melgan > hifigan; 音频质量：mb_melgan < hifigan
### 3. 服务端使用方法
### 3. 使用http协议的流式语音合成服务端及客户端使用方法
#### 3.1 服务端使用方法
- 命令行 (推荐使用)
启动服务（配置文件默认使用http）：
```bash
# 启动服务
paddlespeech_server start --config_file ./conf/tts_online_application.yaml
```
@ -44,7 +45,7 @@
paddlespeech_server start --help
```
参数:
- `config_file`: 服务的配置文件，默认： ./conf/application.yaml
- `config_file`: 服务的配置文件，默认： ./conf/tts_online_application.yaml
- `log_file`: log 文件. 默认：./log/paddlespeech.log
输出:
@ -92,17 +93,15 @@
```
### 4. 流式TTS 客户端使用方法
#### 3.2 客户端使用方法
- 命令行 (推荐使用)
```bash
# 访问 http 流式TTS服务
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav
访问 http 流式TTS服务：
# 访问 websocket 流式TTS服务
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
```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
```
使用帮助:
```bash
@ -163,8 +162,143 @@
[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. 使用websocket协议的流式语音合成服务端及客户端使用方法
#### 4.1 服务端使用方法
- 命令行 (推荐使用)
首先修改配置文件 `conf/tts_online_application.yaml`， **将 `protocol` 设置为 `websocket`**。
启动服务：
```bash
paddlespeech_server start --config_file ./conf/tts_online_application.yaml
```
使用方法：
```bash
paddlespeech_server start --help
```
参数:
- `config_file`: 服务的配置文件，默认： ./conf/tts_online_application.yaml
- `log_file`: log 文件. 默认：./log/paddlespeech.log
输出:
```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")
```
输出：
```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 客户端使用方法
- 命令行 (推荐使用)
访问 websocket 流式TTS服务：
```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
```
使用帮助:
```bash
paddlespeech_client tts_online --help
```
参数:
- `server_ip`: 服务端ip地址，默认: 127.0.0.1。
- `port`: 服务端口，默认: 8092。
- `protocol`: 服务协议，可选 [http, websocket], 默认: http。
- `input`: (必须输入): 待合成的文本。
- `spk_id`: 说话人 id，用于多说话人语音合成，默认值： 0。
- `speed`: 音频速度，该值应设置在 0 到 3 之间。 默认值：1.0
- `volume`: 音频音量，该值应设置在 0 到 3 之间。 默认值： 1.0
- `sample_rate`: 采样率，可选 [0, 8000, 16000]，默认值：0，表示与模型采样率相同
- `output`: 输出音频的路径， 默认值：None，表示不保存音频到本地。
- `play`: 是否播放音频，边合成边播放， 默认值：False，表示不播放。**播放音频需要依赖pyaudio库**。
输出:
```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)
```
输出:
```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
```

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