Speech Enhancement Tools Packages
Project description
# Speech Enhancement Tools(SETools)
## ToDo
- [x] 计算语音增强相关的评价指标,计算结果会被保存为 Excel 表格。
- [ ] 下载 TIMIT 与 NoiseX92,并合成带噪语音
## Usage
安装 SETools 以及依赖
```shell
# 手动安装 PESQ Wrapper @vBaiCai
git clone https://github.com/vBaiCai/python-pesq.git
cd python-pesq
python setup.py install
# 安装 SETools
pip intall SETools
```
使用方法:
```shell
Speech Enhancement Tools
optional arguments:
-h, --help
show this help message and exit
--noisy_dir NOISY_DIR
带噪语音目录
--denoisy_dir DENOISY_DIR
降噪语音的目录
--clean_dir CLEAN_DIR
纯净语音的目录
--output_path OUTPUT_PATH
评价指标存储的全路径,必须以拓展名 .xls 结尾
--limit LIMIT
被测试语音的数量。默认为0,表示不限制数量
--offset OFFSET
从某个索引位置开始计算评价指标,默认为0,表示从索引为 0 的语音开始计算
--sr SR
语音文件的采样率
```
例如:
```shell
SETools --noisy_dir /media/imucs/DataDisk/haoxiang/Release/speech_enhancement/release_-5_0_30_50/test/noisy/ --denoisy_dir ../se_-5_0_30_50_VCC/output/ --clean_dir /media/imucs/DataDisk/haoxiang/Release/speech_enhancement/release_-5_0_30_50/test/clean
```
## ToDo
- [x] 计算语音增强相关的评价指标,计算结果会被保存为 Excel 表格。
- [ ] 下载 TIMIT 与 NoiseX92,并合成带噪语音
## Usage
安装 SETools 以及依赖
```shell
# 手动安装 PESQ Wrapper @vBaiCai
git clone https://github.com/vBaiCai/python-pesq.git
cd python-pesq
python setup.py install
# 安装 SETools
pip intall SETools
```
使用方法:
```shell
Speech Enhancement Tools
optional arguments:
-h, --help
show this help message and exit
--noisy_dir NOISY_DIR
带噪语音目录
--denoisy_dir DENOISY_DIR
降噪语音的目录
--clean_dir CLEAN_DIR
纯净语音的目录
--output_path OUTPUT_PATH
评价指标存储的全路径,必须以拓展名 .xls 结尾
--limit LIMIT
被测试语音的数量。默认为0,表示不限制数量
--offset OFFSET
从某个索引位置开始计算评价指标,默认为0,表示从索引为 0 的语音开始计算
--sr SR
语音文件的采样率
```
例如:
```shell
SETools --noisy_dir /media/imucs/DataDisk/haoxiang/Release/speech_enhancement/release_-5_0_30_50/test/noisy/ --denoisy_dir ../se_-5_0_30_50_VCC/output/ --clean_dir /media/imucs/DataDisk/haoxiang/Release/speech_enhancement/release_-5_0_30_50/test/clean
```
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