Merge branch '4.0' of https://github.com/svc-develop-team/so-vits-svc into 4.0

README.md

@@ -144,7 +144,6 @@ Optional parameters: see the next section
 - `-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.
-- `-fmp` | `--f0_mean_pooling`: Whether the mean filter (pooling) is used for F0 to improve some matte sounds. Note that enabling this option causes reasoning to slow down.
 
 ## 🤔 Optional Settings
 

README_zh_CN.md

@@ -140,11 +140,10 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
 
 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
++ `-fmp` | `--f0_mean_pooling`：是否对F0使用均值滤波器(池化)，对部分哑音有改善。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
-+ `-fmp` | `--f0_mean_pooling`：是否对F0使用均值滤波器(池化)，对部分哑音有改善。注意，启动该选项会导致推理速度下降
 
 ## 🤔 可选项
 

webUI.py

@@ -49,10 +49,13 @@ def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, slice_db, noise
         model.clear_empty()
         os.remove(temp_path)
         #构建保存文件的路径，并保存到results文件夹内
-        timestamp = str(int(time.time()))
-        output_file = os.path.join("results", sid + "_" + timestamp + ".wav")
-        soundfile.write(output_file, _audio, model.target_sample, format="wav")
-        return "Success", (model.target_sample, _audio)
+        try:
+            timestamp = str(int(time.time()))
+            output_file = os.path.join("./results", sid + "_" + timestamp + ".wav")
+            soundfile.write(output_file, _audio, model.target_sample, format="wav")
+            return "Success", (model.target_sample, _audio)
+        except Exception as e:
+            return "自动保存失败，请手动保存，音乐输出见下", (model.target_sample, _audio)    
     except Exception as e:
         return "异常信息:"+str(e)+"\n请排障后重试",None