@@ -34,11 +34,11 @@
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"3、去混响、去延迟模型(by FoxJoy):": "3. Reverberation and delay removal model(by FoxJoy):",
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"ASR 模型": "ASR model",
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||||
"ASR 模型尺寸": "ASR model size",
|
||||
"数据类型精度": "Computing precision",
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||||
"ASR 语言设置": "ASR language",
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||||
"ASR进程输出信息": "ASR output log",
|
||||
"GPT模型列表": "GPT weight list",
|
||||
"GPT训练进程输出信息": "GPT training output log",
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||||
"GPT采样参数(无参考文本时不要太低。不懂就用默认):": "GPT sampling parameters (not too low when there's no reference text. Use default if unsure):",
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"GPU卡号,只能填1个整数": "GPU number, can only input ONE integer",
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||||
"GPU卡号以-分割,每个卡号一个进程": "GPU number is separated by -, each GPU will run one process ",
|
||||
"SSL进程输出信息": "SSL output log",
|
||||
@@ -51,7 +51,6 @@
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||||
"UVR5已开启": "UVR5 opened ",
|
||||
"UVR5进程输出信息": "UVR5 process output log",
|
||||
"alpha_mix:混多少比例归一化后音频进来": "alpha_mix: proportion of normalized audio merged into dataset",
|
||||
"GPT采样参数(无参考文本时不要太低。不懂就用默认):": "GPT sampling parameters (not too low when there's no reference text. Use default if unsure):",
|
||||
"hop_size:怎么算音量曲线,越小精度越大计算量越高(不是精度越大效果越好)": "hop_size: FO hop size, the smaller the value, the higher the accuracy)",
|
||||
"max:归一化后最大值多少": "Loudness multiplier after normalized",
|
||||
"max_sil_kept:切完后静音最多留多长": "Maximum length for silence to be kept",
|
||||
@@ -69,12 +68,12 @@
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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 imported. If a folder path exists, this input is ignored.",
|
||||
"人声伴奏分离批量处理, 使用UVR5模型。": "Batch processing for vocal and instrumental separation, using the UVR5 model.",
|
||||
"人声提取激进程度": "Vocal extraction aggressiveness",
|
||||
"以下模型不存在:": "No Such Model:",
|
||||
"伴奏人声分离&去混响&去回声": "Vocals/Accompaniment Separation & Reverberation Removal",
|
||||
"使用无参考文本模式时建议使用微调的GPT,听不清参考音频说的啥(不晓得写啥)可以开。<br>开启后无视填写的参考文本。": "When using the no-reference text mode, it is recommended to use a fine-tuned GPT. If the reference audio is unclear and you don't know what to write, you can enable this feature, which will ignore the reference text you've entered.",
|
||||
"保存频率save_every_epoch": "Save frequency (save_every_epoch):",
|
||||
"凑50字一切": "Slice per 50 characters",
|
||||
"凑四句一切": "Slice once every 4 sentences",
|
||||
"切分后文本": "Text after sliced",
|
||||
"切分后的子音频的输出根目录": "Audio slicer output folder",
|
||||
"切割使用的进程数": "CPU threads used for audio slicing",
|
||||
"刷新模型路径": "refreshing model paths",
|
||||
@@ -85,9 +84,9 @@
|
||||
"参考音频的语种": "Language for reference audio",
|
||||
"合成语音": "Start inference",
|
||||
"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)。": "An example of a valid folder path format: E:\\codes\\py39\\vits_vc_gpu\\白鹭霜华测试样例 (simply copy the address from the file manager's address bar).",
|
||||
"后续将支持转音素、手工修改音素、语音合成分步执行。": " Step-to-step phoneme transformation and modification coming soon!",
|
||||
"填切割后音频所在目录!读取的音频文件完整路径=该目录-拼接-list文件里波形对应的文件名(不是全路径)。如果留空则使用.list文件里的绝对全路径。": "Please fill in the segmented audio files' directory! The full path of the audio file = the directory concatenated with the filename corresponding to the waveform in the list file (not the full path). If left blank, the absolute full path in the .list file will be used.",
|
||||
"多语种混合": "Multilingual Mixed",
|
||||
"多语种混合(粤语)": "Multilingual Mixed(Yue)",
|
||||
"实际输入的参考文本:": "Actual Input Reference Text:",
|
||||
"实际输入的目标文本(切句后):": "Actual Input Target Text (after sentence segmentation):",
|
||||
"实际输入的目标文本(每句):": "Actual Input Target Text (per sentence):",
|
||||
@@ -114,7 +113,7 @@
|
||||
"按中文句号。切": "Slice by Chinese punct",
|
||||
"按标点符号切": "Slice by every punct",
|
||||
"按英文句号.切": "Slice by English punct",
|
||||
"文本切分工具。太长的文本合成出来效果不一定好,所以太长建议先切。合成会根据文本的换行分开合成再拼起来。": "Text slicer tool, since there will be issues when infering long texts, so it is advised to cut first. When infering, it will infer respectively then combined together.",
|
||||
"数据类型精度": "Computing precision",
|
||||
"文本模块学习率权重": "Text model learning rate weighting",
|
||||
"文本进程输出信息": "Text processing output",
|
||||
"施工中,请静候佳音": "In construction, please wait",
|
||||
@@ -133,6 +132,9 @@
|
||||
"模型分为三类:": "Models are categorized into three types:",
|
||||
"模型切换": "Model switch",
|
||||
"每张显卡的batch_size": "Batch size per GPU:",
|
||||
"版本": "Version",
|
||||
"粤英混合": "Yue-English Mixed",
|
||||
"粤语": "Yue",
|
||||
"终止ASR进程": "Stop ASR task",
|
||||
"终止GPT训练": "Stop GPT training",
|
||||
"终止SSL提取进程": "Stop SSL extraction",
|
||||
@@ -160,9 +162,10 @@
|
||||
"选择训练完存放在SoVITS_weights和GPT_weights下的模型。默认的一个是底模,体验5秒Zero Shot TTS用。": "Choose the models from SoVITS_weights and GPT_weights. The default one is a pretrain, so you can experience zero shot TTS.",
|
||||
"降噪结果输出文件夹": "Denoised Results Output Folder",
|
||||
"降噪音频文件输入文件夹": "Denoising Audio File Input Folder",
|
||||
"需要合成的切分前文本": "Inference text that needs to be sliced",
|
||||
"需要合成的文本": "Inference text",
|
||||
"需要合成的语种": "Inference text language",
|
||||
"韩文": "Korean",
|
||||
"韩英混合": "Korean-English Mixed",
|
||||
"音频自动切分输入路径,可文件可文件夹": "Audio slicer input (file or folder)",
|
||||
"预训练的GPT模型路径": "Pretrained GPT model path",
|
||||
"预训练的SSL模型路径": "Pretrained SSL model path",
|
||||
|
||||
Reference in New Issue
Block a user