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.gitignore

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+.ipynb_checkpoints

README.md

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+---
+language: 
+  - jp
+tags:
+- つくよみちゃん
+- StyleBertVITS2
+license: "other"
+---
+
+# つくよみちゃんつくよみちゃんコーパス 学習モデル for StyleBertVITS2
+
+[つくよみちゃんコーパス│声優統計コーパス（JVSコーパス準拠）](https://tyc.rei-yumesaki.net/material/corpus/)を使わせていただき、[StyleBertVITS2](https://github.com/litagin02/Style-Bert-VITS2)で学習を行ったモデルです
+
+## 学習パラメータ
+* バッチサイズ : 4
+* エポック数 : 200
+* 何ステップごとに結果を保存するか : 1000
+* bfloat16 : true
+* プロセス数 : 72

config.json

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+{
+  "model_name": "tsukuyomi-chan",
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 1000,
+    "seed": 42,
+    "epochs": 200,
+    "learning_rate": 0.0002,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 4,
+    "bf16_run": true,
+    "lr_decay": 0.99995,
+    "segment_size": 16384,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "skip_optimizer": false,
+    "freeze_ZH_bert": false,
+    "freeze_JP_bert": false,
+    "freeze_EN_bert": false,
+    "freeze_style": false
+  },
+  "data": {
+    "training_files": "Data/tsukuyomi-chan/train.list",
+    "validation_files": "Data/tsukuyomi-chan/val.list",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 44100,
+    "filter_length": 2048,
+    "hop_length": 512,
+    "win_length": 2048,
+    "n_mel_channels": 128,
+    "mel_fmin": 0.0,
+    "mel_fmax": null,
+    "add_blank": true,
+    "n_speakers": 1,
+    "cleaned_text": true,
+    "num_styles": 1,
+    "style2id": {
+      "Neutral": 0
+    },
+    "spk2id": {
+      "tsukuyomi-chan": 0
+    }
+  },
+  "model": {
+    "use_spk_conditioned_encoder": true,
+    "use_noise_scaled_mas": true,
+    "use_mel_posterior_encoder": false,
+    "use_duration_discriminator": true,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
+    "p_dropout": 0.1,
+    "resblock": "1",
+    "resblock_kernel_sizes": [
+      3,
+      7,
+      11
+    ],
+    "resblock_dilation_sizes": [
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ]
+    ],
+    "upsample_rates": [
+      8,
+      8,
+      2,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      8,
+      2,
+      2
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256
+  },
+  "version": "1.3"
+}

style_vectors.npy

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+size 1152

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