You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
79 lines
2.4 KiB
79 lines
2.4 KiB
([简体中文](./README_cn.md)|English)
|
|
# Speech Translation
|
|
|
|
## Introduction
|
|
Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language.
|
|
|
|
This demo is an implementation to recognize text from a specific audio file and translate to target language. It can be done by a single command or a few lines in python using `PaddleSpeech`.
|
|
|
|
## Usage
|
|
### 1. Installation
|
|
```bash
|
|
pip install paddlespeech
|
|
```
|
|
|
|
### 2. Prepare Input File
|
|
Input of this demo should be a WAV file(`.wav`).
|
|
|
|
Here are sample files for this demo that can be downloaded:
|
|
```bash
|
|
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav
|
|
```
|
|
|
|
### 3. Usage (not support for Windows now)
|
|
- Command Line(Recommended)
|
|
```bash
|
|
paddlespeech st --input ./en.wav
|
|
```
|
|
Usage:
|
|
```bash
|
|
paddlespeech st --help
|
|
```
|
|
Arguments:
|
|
- `input`(required): Audio file to recognize and translate.
|
|
- `model`: Model type of st task. Default: `fat_st_ted`.
|
|
- `src_lang`: Source language. Default: `en`.
|
|
- `tgt_lang`: Target language. Default: `zh`.
|
|
- `sample_rate`: Sample rate of the model. Default: `16000`.
|
|
- `config`: Config of st task. Use pretrained model when it is None. Default: `None`.
|
|
- `ckpt_path`: Model checkpoint. Use pretrained model when it is None. Default: `None`.
|
|
- `device`: Choose device to execute model inference. Default: default device of paddlepaddle in current environment.
|
|
|
|
Output:
|
|
```bash
|
|
[2021-12-09 11:13:03,178] [ INFO] [utils.py] [L225] - ST Result: ['我 在 这栋 建筑 的 古老 门上 敲门 。']
|
|
```
|
|
|
|
- Python API
|
|
```python
|
|
import paddle
|
|
from paddlespeech.cli import STExecutor
|
|
|
|
st_executor = STExecutor()
|
|
text = st_executor(
|
|
model='fat_st_ted',
|
|
src_lang='en',
|
|
tgt_lang='zh',
|
|
sample_rate=16000,
|
|
config=None, # Set `config` and `ckpt_path` to None to use pretrained model.
|
|
ckpt_path=None,
|
|
audio_file='./en.wav',
|
|
device=paddle.get_device())
|
|
print('ST Result: \n{}'.format(text))
|
|
```
|
|
|
|
Output:
|
|
```bash
|
|
ST Result:
|
|
['我 在 这栋 建筑 的 古老 门上 敲门 。']
|
|
```
|
|
|
|
|
|
### 4.Pretrained Models
|
|
|
|
Here is a list of pretrained models released by PaddleSpeech that can be used by command and python api:
|
|
|
|
| Model | Source Language | Target Language
|
|
| :--- | :---: | :---: |
|
|
| fat_st_ted| en| zh
|