Update README.md

README.md

@@ -131,19 +131,19 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
 ```
 
 Required parameters:
-- -m, --model_path: path to the model.
-- -c, --config_path: path to the configuration file.
-- -n, --clean_names: a list of wav file names located in the raw folder.
-- -t, --trans: pitch adjustment, supports positive and negative (semitone) values.
-- -s, --spk_list: target speaker name for synthesis.
-- -cl, --clip: voice forced slicing, set to 0 to turn off(default), duration in seconds.
+- `-m` | `--model_path`: path to the model.
+- `-c` | `--config_path`: path to the configuration file.
+- `-n` | `--clean_names`: a list of wav file names located in the raw folder.
+- `-t` | `--trans`: pitch adjustment, supports positive and negative (semitone) values.
+- `-s` | `--spk_list`: target speaker name for synthesis.
+- `-cl` | `--clip`: voice forced slicing, set to 0 to turn off(default), duration in seconds.
 
 Optional parameters: see the next section
-- -lg, --linear_gradient: The cross fade length of two audio slices in seconds. If there is a discontinuous voice after forced slicing, you can adjust this value. Otherwise, it is recommended to use the default value of 0.
-- -fmp, --f0_mean_pooling: Apply mean filter (pooling) to f0，which may improve some hoarse sounds. Enabling this option will reduce inference speed.
-- -a, --auto_predict_f0: automatic pitch prediction for voice conversion, do not enable this when converting songs as it can cause serious pitch issues.
-- -cm, --cluster_model_path: path to the clustering model, fill in any value if clustering is not trained.
-- -cr, --cluster_infer_ratio: proportion of the clustering solution, range 0-1, fill in 0 if the clustering model is not trained.
+- `-lg` | `--linear_gradient`: The cross fade length of two audio slices in seconds. If there is a discontinuous voice after forced slicing, you can adjust this value. Otherwise, it is recommended to use the default value of 0.
+- `-fmp` | `--f0_mean_pooling`: Apply mean filter (pooling) to f0，which may improve some hoarse sounds. Enabling this option will reduce inference speed.
+- `-a` | `--auto_predict_f0`: automatic pitch prediction for voice conversion, do not enable this when converting songs as it can cause serious pitch issues.
+- `-cm` | `--cluster_model_path`: path to the clustering model, fill in any value if clustering is not trained.
+- `-cr` | `--cluster_infer_ratio`: proportion of the clustering solution, range 0-1, fill in 0 if the clustering model is not trained.
 
 ## 🤔 Optional Settings
 

README_zh_CN.md

@@ -131,19 +131,19 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
 ```
 
 必填项部分
-+ -m, --model_path：模型路径
-+ -c, --config_path：配置文件路径
-+ -n, --clean_names：wav 文件名列表，放在 raw 文件夹下
-+ -t, --trans：音高调整，支持正负（半音）
-+ -s, --spk_list：合成目标说话人名称
-+ -cl, --clip：音频强制切片，默认0为自动切片，单位为秒/s
++ `-m` | `--model_path`：模型路径
++ `-c` | `--config_path`：配置文件路径
++ `-n` | `--clean_names`：wav 文件名列表，放在 raw 文件夹下
++ `-t` | `--trans`：音高调整，支持正负（半音）
++ `-s` | `--spk_list`：合成目标说话人名称
++ `-cl` | `--clip`：音频强制切片，默认0为自动切片，单位为秒/s
 
 可选项部分：部分具体见下一节
-+ -lg, --linear_gradient：两段音频切片的交叉淡入长度，如果强制切片后出现人声不连贯可调整该数值，如果连贯建议采用默认值0，单位为秒
-+ -fmp, --f0_mean_pooling：是否对F0使用均值滤波器(池化)，对部分哑音可能有改善。注意，启动该选项会导致推理速度下降，默认关闭
-+ -a, --auto_predict_f0：语音转换自动预测音高，转换歌声时不要打开这个会严重跑调
-+ -cm, --cluster_model_path：聚类模型路径，如果没有训练聚类则随便填
-+ -cr, --cluster_infer_ratio：聚类方案占比，范围0-1，若没有训练聚类模型则默认0即可
++ `-lg` | `--linear_gradient`：两段音频切片的交叉淡入长度，如果强制切片后出现人声不连贯可调整该数值，如果连贯建议采用默认值0，单位为秒
++ `-fmp` | `--f0_mean_pooling`：是否对F0使用均值滤波器(池化)，对部分哑音可能有改善。注意，启动该选项会导致推理速度下降，默认关闭
++ `-a` | `--auto_predict_f0`：语音转换自动预测音高，转换歌声时不要打开这个会严重跑调
++ `-cm` | `--cluster_model_path`：聚类模型路径，如果没有训练聚类则随便填
++ `-cr` | `--cluster_infer_ratio`：聚类方案占比，范围0-1，若没有训练聚类模型则默认0即可
 
 ## 🤔 可选项