English translations (#75)
Modified some existing translations and translated non-existing ones using GPT-4, manually proofread, may require double proofreading from experts to ensure accuracy.
This commit is contained in:
Nasser Aldosari
GitHub
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commit
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i18n/en_US.json
110
i18n/en_US.json
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{
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"本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责. <br>如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录<b>使用需遵守的协议-LICENSE.txt</b>.": "本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责. <br>如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录<b>使用需遵守的协议-LICENSE.txt</b>.",
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"模型推理": "Model inference",
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"推理音色": "Inferencing timbre",
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"刷新音色列表": "Refresh timbre list",
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"卸载音色省显存": "Unload timbre to save GPU memory",
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"请选择说话人id": "Please select a speaker id",
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"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. ": "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. ",
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"变调(整数, 半音数量, 升八度12降八度-12)": "变调(整数, 半音数量, 升八度12降八度-12)",
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"输入待处理音频文件路径(默认是正确格式示例)": "输入待处理音频文件路径(默认是正确格式示例)",
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"推理音色": "Inferencing voice",
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"刷新音色列表": "Refresh voice list",
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"卸载音色省显存": "Unload voice to save GPU memory",
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"请选择说话人id": "select a speaker ID",
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"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.",
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"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)",
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"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)",
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"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.",
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"特征检索库文件路径": "Feature search database file path",
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"特征文件路径": "Feature file path",
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"F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调": "F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调",
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"F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调": "F0 curve file, optional, one pitch per line, instead of default F0 and pitch shifting",
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"转换": "Conversion",
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"输出信息": "Output information",
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"输出音频(右下角三个点,点了可以下载)": "输出音频(右下角三个点,点了可以下载)",
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"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. ": "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. ",
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"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)",
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"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).",
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"指定输出文件夹": "Specify output folder",
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"检索特征占比": "Search feature ratio",
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"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)": "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)",
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"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",
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"伴奏人声分离": "Accompaniment and vocal separation",
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"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)": "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)",
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"输入待处理音频文件夹路径": "Input audio folder path",
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"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)",
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"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",
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"伴奏人声分离": "Instrumental and vocal separation",
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"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)",
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"输入待处理音频文件夹路径": "Input the path to the audio folder to be processed",
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"模型": "Model",
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"指定输出人声文件夹": "Specify output vocal folder",
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"指定输出乐器文件夹": "Specify output instrumental folder",
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"指定输出人声文件夹": "Specify vocals output folder",
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"指定输出乐器文件夹": "Specify instrumentals output folder",
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"训练": "Train",
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"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: 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. ",
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"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.",
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"输入实验名": "Input experiment name",
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"目标采样率": "Target sample rate",
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"模型是否带音高指导(唱歌一定要, 语音可以不要)": "模型是否带音高指导(唱歌一定要, 语音可以不要)",
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"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: 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. ",
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"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)",
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"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.",
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"输入训练文件夹路径": "Input training folder path",
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"请指定说话人id": "Please specify speaker ID",
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"处理数据": "Process data",
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"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: 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)",
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"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": "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",
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"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).",
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"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.",
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"显卡信息": "GPU information",
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"提取音高使用的CPU进程数": "Number of CPU processes used for pitch extraction",
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"提取音高使用的CPU进程数": "Number of CPU threads to use for pitch extraction",
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"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.",
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"特征提取": "Feature extraction",
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"step3: 填写训练设置, 开始训练模型和索引": "step3: 填写训练设置, 开始训练模型和索引",
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"保存频率save_every_epoch": "Save frequency (save_every_epoch)",
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"step3: 填写训练设置, 开始训练模型和索引": "step3: Fill in the training settings and start training the model and index.",
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"保存频率save_every_epoch": "Saving frequency (save_every_epoch)",
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"总训练轮数total_epoch": "Total training epochs (total_epoch)",
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"是否仅保存最新的ckpt文件以节省硬盘空间": "Whether to save only the latest ckpt file to save disk space",
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"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": "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",
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"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.",
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"加载预训练底模G路径": "Load pre-trained base model G path.",
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"加载预训练底模D路径": "Load pre-trained base model D path.",
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"训练模型": "Train model.",
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"训练特征索引": "Train feature index.",
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"一键训练": "One-click training.",
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"ckpt处理": "ckpt processing.",
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"模型融合, 可用于测试音色融合": "模型融合, 可用于测试音色融合",
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"ckpt处理": "Ckpt processing.",
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"模型融合, 可用于测试音色融合": "Model fusion, can be used for merging diffrent voices",
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"A模型路径": "A model path.",
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"B模型路径": "B model path.",
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"A模型权重": "A model weight.",
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"A模型权重": "A model weight for model A.",
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"模型是否带音高指导": "Whether the model has pitch guidance.",
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"要置入的模型信息": "Model information to be placed.",
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"保存的模型名不带后缀": "Saved model name without extension.",
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"融合": "Fusion.",
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"修改模型信息(仅支持weights文件夹下提取的小模型文件)": "修改模型信息(仅支持weights文件夹下提取的小模型文件)",
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"修改模型信息(仅支持weights文件夹下提取的小模型文件)": "Modify model information (only supports small model files extracted under the weights folder).",
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"模型路径": "Model path",
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"要改的模型信息": "Model information to be modified",
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"保存的文件名, 默认空为和源文件同名": "保存的文件名, 默认空为和源文件同名",
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"保存的文件名, 默认空为和源文件同名": "Name of the file to be saved, default is the same as the source file name",
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"修改": "Modify",
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"查看模型信息(仅支持weights文件夹下提取的小模型文件)": "查看模型信息(仅支持weights文件夹下提取的小模型文件)",
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"查看模型信息(仅支持weights文件夹下提取的小模型文件)": "View model information (only applicable to small model files extracted from the 'weights' folder)",
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"查看": "View",
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"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": "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",
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"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",
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"保存名": "Save Name",
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"模型是否带音高指导,1是0否": "Whether the model comes with pitch guidance, 1 for yes, 0 for no",
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"模型是否带音高指导,1是0否": "Whether the model has pitch guidance, 1 for yes, 0 for no",
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"提取": "Extract",
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"招募音高曲线前端编辑器": "Recruit front-end editors for pitch curves",
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"加开发群联系我xxxxx": "加开发群联系我xxxxx",
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"加开发群联系我xxxxx": "Join the development group to contact me at xxxxx",
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"点击查看交流、问题反馈群号": "Click to view the communication and problem feedback group number",
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"xxxxx": "xxxxx",
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"加载模型": "加载模型",
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"Hubert模型": "Hubert File",
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"选择.pth文件": "选择.pth文件",
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"选择.index文件": "选择.index文件",
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"选择.npy文件": "选择.npy文件",
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"输入设备": "输入设备",
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"输出设备": "输出设备",
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"音频设备(请使用同种类驱动)": "音频设备(请使用同种类驱动)",
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"响应阈值": "响应阈值",
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"音调设置": "音调设置",
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"加载模型": "Load Model",
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"Hubert模型": "Hubert Model",
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"选择.pth文件": "Select .pth file",
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"选择.index文件": "Select .index file",
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"选择.npy文件": "Select .npy file",
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"输入设备": "Input device",
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"输出设备": "Output device",
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"音频设备(请使用同种类驱动)": "Audio device (please use the same type of driver)",
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"响应阈值": "Response threshold",
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"音调设置": "Pitch setting",
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"Index Rate": "Index Rate",
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"常规设置": "常规设置",
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"采样长度": "采样长度",
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"淡入淡出长度": "淡入淡出长度",
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"额外推理时长": "额外推理时长",
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"输入降噪": "Input Noisereduce",
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"输出降噪": "Output Noisereduce",
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"性能设置": "性能设置",
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"开始音频转换": "开始音频转换",
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"停止音频转换": "停止音频转换",
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"常规设置": "General Settings",
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"采样长度": "Sampling length",
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"淡入淡出长度": "Fade in/out length",
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"额外推理时长": "Additional inference time",
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"输入降噪": "Input Noise Reduction",
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"输出降噪": "Output Noise Reduction",
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"性能设置": "Performance settings",
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"开始音频转换": "Start Audio Conversion",
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"停止音频转换": "Stop Audio Conversion",
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"推理时间(ms):": "Infer Time(ms):"
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}
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}
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