first commit

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+*.utf8 filter=lfs diff=lfs merge=lfs -text

G_multisperaker_latest_low.json

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+{
+  "train": {
+    "log_interval": 10,
+    "eval_interval": 100,
+    "seed": 1234,
+    "epochs": 10000,
+    "learning_rate": 0.0002,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 64,
+    "fp16_run": true,
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+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0
+  },
+  "data": {
+    "training_files": "final_annotation_train.txt",
+    "validation_files": "final_annotation_val.txt",
+    "text_cleaners": [
+      "chinese_cleaners"
+    ],
+    "max_wav_value": 32768.0,
+    "sampling_rate": 16000,
+    "filter_length": 1024,
+    "hop_length": 256,
+    "win_length": 1024,
+    "n_mel_channels": 80,
+    "mel_fmin": 0.0,
+    "mel_fmax": null,
+    "add_blank": true,
+    "n_speakers": 5,
+    "cleaned_text": true
+  },
+  "model": {
+    "inter_channels": 96,
+    "hidden_channels": 96,
+    "filter_channels": 256,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
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+      8,
+      4
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+    "upsample_kernel_sizes": [
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+      16,
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+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256
+  },
+  "speakers": {
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README.md

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+# Introduction
+
+This model is contributed by the community and trained using
+https://github.com/Plachtaa/VITS-fast-fine-tuning

dict/README.md

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+# CppJieba字典
+
+文件后缀名代表的是词典的编码方式。
+比如filename.utf8 是 utf8编码，filename.gbk 是 gbk编码方式。
+
+
+## 分词
+
+### jieba.dict.utf8/gbk
+
+作为最大概率法(MPSegment: Max Probability)分词所使用的词典。
+
+### hmm_model.utf8/gbk
+
+作为隐式马尔科夫模型(HMMSegment: Hidden Markov Model)分词所使用的词典。
+
+__对于MixSegment(混合MPSegment和HMMSegment两者)则同时使用以上两个词典__
+
+
+## 关键词抽取
+
+### idf.utf8
+
+IDF(Inverse Document Frequency)
+在KeywordExtractor中，使用的是经典的TF-IDF算法，所以需要这么一个词典提供IDF信息。
+
+### stop_words.utf8
+
+停用词词典
+
+

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vits-zh-ll.onnx

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