"男转女推荐+12key, 女转男推荐-12key, 如果音域爆炸导致音色失真也可以自己调整到合适音域. ":"Recommended +12 key for male-to-female voice conversion, -12 key for female-to-male voice conversion. If the pitch range is too wide and causes distortion, adjust it to a suitable range by yourself.",
"变调(整数, 半音数量, 升八度12降八度-12)":"Pitch shifting (integer, number of semitones, raise by an octave +12 or lower by an octave -12)",
"输入待处理音频文件路径(默认是正确格式示例)":"Enter the file path of the audio to be processed (default is the correct format example)",
"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比":"Select the algorithm for pitch extraction. Use 'pm' to speed up for singing voices, or use 'harvest' for better low-pitched voices, but it is extremely slow.",
"输出音频(右下角三个点,点了可以下载)":"Output audio (click the three dots in the lower right corner to download)",
"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, input the folder containing audio files to be converted, or upload multiple audio files. The converted audio will be output in the specified folder (default opt).",
"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 to the audio folder to be processed (just copy it from the file manager address bar)",
"也可批量输入音频文件, 二选一, 优先读文件夹":"Multiple audio files can also be inputted, either of the two options, with priority given to the folder",
"伴奏人声分离":"Instrumental and vocal separation",
"人声伴奏分离批量处理, 使用UVR5模型. <br>不带和声用HP2, 带和声且提取的人声不需要和声用HP5<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)":"Batch processing of instrumental and vocal separation using UVR5 model. <br>Use HP2 for vocal separation without harmonics, and use HP5 for vocal separation with harmonics and the extracted vocals do not need to have harmonics. <br>Example of a qualified folder path: E:\\codes\\py39\\vits_vc_gpu\\test_sample (just copy it from the file manager address bar)",
"输入待处理音频文件夹路径":"Input the path to the audio folder to be processed",
"step1: 填写实验配置. 实验数据放在logs下, 每个实验一个文件夹, 需手工输入实验名路径, 内含实验配置, 日志, 训练得到的模型文件. ":"step1: Fill in the experiment configuration. Experiment data is stored in the 'logs' directory, with each experiment in a separate folder. The experiment name path needs to be entered manually and should contain the experiment configuration, logs, and trained model files.",
"模型是否带音高指导(唱歌一定要, 语音可以不要)":"Whether the model has pitch guidance (necessary for singing, but not required for speech)",
"step2a: 自动遍历训练文件夹下所有可解码成音频的文件并进行切片归一化, 在实验目录下生成2个wav文件夹; 暂时只支持单人训练. ":"step2a: Automatically traverse the training folder and slice and normalize all audio files that can be decoded into audio. Two 'wav' folders will be generated in the experiment directory. Currently, only single-person training is supported.",
"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)":"step2b: Use CPU to extract pitch (if the model has pitch guidance) and GPU to extract features (select card number).",
"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":"Separate the GPU id numbers with '-' when inputting. For example, '0-1-2' means using GPU 0, GPU 1, and GPU 2.",
"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 pitch extraction algorithm: Use 'pm' for faster processing of singing voice, 'dio' for high-quality speech but slower processing, and 'harvest' for the best quality but slowest processing.",
"是否缓存所有训练集至显存. 10min以下小数据可缓存以加速训练, 大数据缓存会炸显存也加不了多少速":"Whether to cache all training sets in GPU memory. Small datasets (under 10 minutes) can be cached to speed up training, but caching large datasets can cause GPU memory errors and does not increase speed significantly.",
"模型提取(输入logs文件夹下大文件模型路径),适用于训一半不想训了模型没有自动提取保存小文件模型,或者想测试中间模型的情况":"Model extraction (input the path of a large model file in the 'logs' folder), applicable when you want to extract a small model file after training halfway and it was not saved automatically, or when you want to test an intermediate model",
