🎨 同步 locale (#1093)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

lib/i18n/en_US.json

@@ -32,7 +32,7 @@
     "批量转换, 输入待转换音频文件夹, 或上传多个音频文件, 在指定文件夹(默认opt)下输出转换的音频. ": "Batch conversion. Enter the folder containing the audio files to be converted or upload multiple audio files. The converted audio will be output in the specified folder (default: 'opt').",
     "指定输出文件夹": "Specify output folder:",
     "输入待处理音频文件夹路径(去文件管理器地址栏拷就行了)": "Enter the path of the audio folder to be processed (copy it from the address bar of the file manager):",
-    "也可批量拖拽音频文件, 二选一, 优先读文件夹，文件夹留空则读取拖拽文件": "You can also drag input audio files here. Choose one of the two options. Priority is given to reading from the folder, if the folder option is blank, it will read the files you drag here.",
+    "也可批量输入音频文件, 二选一, 优先读文件夹": "也可批量输入音频文件, 二选一, 优先读文件夹",
     "导出文件格式": "Export file format",
     "伴奏人声分离&去混响&去回声": "Vocals/Accompaniment Separation & Reverberation Removal",
     "人声伴奏分离批量处理， 使用UVR5模型。 <br>合格的文件夹路径格式举例： E:\\codes\\py39\\vits_vc_gpu\\白鹭霜华测试样例(去文件管理器地址栏拷就行了)。 <br>模型分为三类： <br>1、保留人声：不带和声的音频选这个，对主人声保留比HP5更好。内置HP2和HP3两个模型，HP3可能轻微漏伴奏但对主人声保留比HP2稍微好一丁点； <br>2、仅保留主人声：带和声的音频选这个，对主人声可能有削弱。内置HP5一个模型； <br> 3、去混响、去延迟模型（by FoxJoy）：<br>  (1)MDX-Net(onnx_dereverb):对于双通道混响是最好的选择，不能去除单通道混响；<br>&emsp;(234)DeEcho:去除延迟效果。Aggressive比Normal去除得更彻底，DeReverb额外去除混响，可去除单声道混响，但是对高频重的板式混响去不干净。<br>去混响/去延迟，附：<br>1、DeEcho-DeReverb模型的耗时是另外2个DeEcho模型的接近2倍；<br>2、MDX-Net-Dereverb模型挺慢的；<br>3、个人推荐的最干净的配置是先MDX-Net再DeEcho-Aggressive。": "Batch processing for vocal accompaniment separation using the UVR5 model.<br>Example of a valid folder path format: D:\\path\\to\\input\\folder (copy it from the file manager address bar).<br>The model is divided into three categories:<br>1. Preserve vocals: Choose this option for audio without harmonies. It preserves vocals better than HP5. It includes two built-in models: HP2 and HP3. HP3 may slightly leak accompaniment but preserves vocals slightly better than HP2.<br>2. Preserve main vocals only: Choose this option for audio with harmonies. It may weaken the main vocals. It includes one built-in model: HP5.<br>3. De-reverb and de-delay models (by FoxJoy):<br>  (1) MDX-Net: The best choice for stereo reverb removal but cannot remove mono reverb;<br>&emsp;(234) DeEcho: Removes delay effects. Aggressive mode removes more thoroughly than Normal mode. DeReverb additionally removes reverb and can remove mono reverb, but not very effectively for heavily reverberated high-frequency content.<br>De-reverb/de-delay notes:<br>1. The processing time for the DeEcho-DeReverb model is approximately twice as long as the other two DeEcho models.<br>2. The MDX-Net-Dereverb model is quite slow.<br>3. The recommended cleanest configuration is to apply MDX-Net first and then DeEcho-Aggressive.",
@@ -54,7 +54,7 @@
     "step2b: 使用CPU提取音高(如果模型带音高), 使用GPU提取特征(选择卡号)": "Step 2b: Use CPU to extract pitch (if the model has pitch), use GPU to extract features (select GPU index):",
     "以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2": "Enter the GPU index(es) separated by '-', e.g., 0-1-2 to use GPU 0, 1, and 2:",
     "显卡信息": "GPU Information",
-    "选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢": "Select the pitch extraction algorithm ('pm': faster extraction but lower-quality speech; 'dio': improved speech but slower extraction; 'harvest': better quality but slower extraction):",
+    "选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢,rmvpe效果最好且微吃CPU/GPU": "选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢,rmvpe效果最好且微吃CPU/GPU",
     "rmvpe卡号配置：以-分隔输入使用的不同进程卡号,例如0-0-1使用在卡0上跑2个进程并在卡1上跑1个进程": "Enter the GPU index(es) separated by '-', e.g., 0-0-1 to use 2 processes in GPU0 and 1 process in GPU1",
     "特征提取": "Feature extraction",
     "step3: 填写训练设置, 开始训练模型和索引": "Step 3: Fill in the training settings and start training the model and index",
@@ -101,18 +101,19 @@
     "点击查看交流、问题反馈群号": "Click to view the communication and problem feedback group number",
     "xxxxx": "xxxxx",
     "加载模型": "Load model",
-    "Hubert模型": "Hubert Model",
     "选择.pth文件": "Select the .pth file",
     "选择.index文件": "Select the .index file",
-    "选择.npy文件": "Select the .npy file",
     "输入设备": "Input device",
     "输出设备": "Output device",
+    "重载设备列表": "Reload device list",
     "音频设备(请使用同种类驱动)": "Audio device (please use the same type of driver)",
     "响应阈值": "Response threshold",
     "音调设置": "Pitch settings",
     "Index Rate": "Index Rate",
+    "音高算法": "pitch detection algorithm",
     "常规设置": "General settings",
     "采样长度": "Sample length",
+    "harvest进程数": "Number of CPU processes used for harvest pitch algorithm",
     "淡入淡出长度": "Fade length",
     "额外推理时长": "Extra inference time",
     "输入降噪": "Input noise reduction",
@@ -123,10 +124,6 @@
     "推理时间(ms):": "Inference time (ms):",
     "请选择pth文件": "请选择pth文件",
     "请选择index文件": "请选择index文件",
-    "hubert模型路径不可包含中文": "hubert模型路径不可包含中文",
     "pth文件路径不可包含中文": "pth文件路径不可包含中文",
-    "index文件路径不可包含中文": "index文件路径不可包含中文",
-    "重载设备列表": "Reload device list",
-    "音高算法": "pitch detection algorithm",
-    "harvest进程数": "Number of CPU processes used for harvest pitch algorithm"
+    "index文件路径不可包含中文": "index文件路径不可包含中文"
 }