YourTTS-16

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YourTTS-16/colab_kernel_launcher.py

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+# Copyright 2023 Google Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Custom kernel launcher app to customize socket options."""
+
+from ipykernel import kernelapp
+import zmq
+
+
+# We want to set the high water mark on *all* sockets to 0, as we don't want
+# the backend dropping any messages. We want to set this before any calls to
+# bind or connect.
+#
+# In principle we should override `init_sockets`, but it's hard to set options
+# on the `zmq.Context` there without rewriting the entire method. Instead we
+# settle for only setting this on `iopub`, as that's the most important for our
+# use case.
+class ColabKernelApp(kernelapp.IPKernelApp):
+
+  def init_iopub(self, context):
+    context.setsockopt(zmq.RCVHWM, 0)
+    context.setsockopt(zmq.SNDHWM, 0)
+    return super().init_iopub(context)
+
+
+if __name__ == '__main__':
+  ColabKernelApp.launch_instance()

YourTTS-16/config.json

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+{
+    "output_path": "/content/drive/MyDrive/Pretraining/output",
+    "logger_uri": null,
+    "run_name": "YourTTS",
+    "project_name": "YourTTS",
+    "run_description": "Training YourTTS",
+    "print_step": 100,
+    "plot_step": 100,
+    "model_param_stats": false,
+    "wandb_entity": null,
+    "dashboard_logger": "tensorboard",
+    "save_on_interrupt": true,
+    "log_model_step": 1000,
+    "save_step": 5000,
+    "save_n_checkpoints": 5,
+    "save_checkpoints": true,
+    "save_all_best": false,
+    "save_best_after": 7000,
+    "target_loss": "loss_1",
+    "print_eval": true,
+    "test_delay_epochs": 0,
+    "run_eval": true,
+    "run_eval_steps": null,
+    "distributed_backend": "nccl",
+    "distributed_url": "tcp://localhost:54321",
+    "mixed_precision": false,
+    "precision": "fp16",
+    "epochs": 450,
+    "batch_size": 64,
+    "eval_batch_size": 720,
+    "grad_clip": [
+        1.0,
+        1.0
+    ],
+    "scheduler_after_epoch": true,
+    "lr": 0.0002,
+    "optimizer": "AdamW",
+    "optimizer_params": {
+        "betas": [
+            0.9,
+            0.99
+        ],
+        "eps": 1e-08,
+        "weight_decay": 0.01
+    },
+    "lr_scheduler": null,
+    "lr_scheduler_params": null,
+    "use_grad_scaler": false,
+    "allow_tf32": false,
+    "cudnn_enable": true,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": true,
+    "training_seed": 54321,
+    "model": "vits",
+    "num_loader_workers": 16,
+    "num_eval_loader_workers": 16,
+    "use_noise_augment": false,
+    "audio": {
+        "fft_size": 1024,
+        "sample_rate": 22050,
+        "win_length": 1024,
+        "hop_length": 256,
+        "num_mels": 80,
+        "mel_fmin": 0,
+        "mel_fmax": null
+    },
+    "model_args": {
+        "num_chars": 67,
+        "out_channels": 513,
+        "spec_segment_size": 32,
+        "hidden_channels": 192,
+        "hidden_channels_ffn_text_encoder": 768,
+        "num_heads_text_encoder": 2,
+        "num_layers_text_encoder": 10,
+        "kernel_size_text_encoder": 3,
+        "dropout_p_text_encoder": 0.1,
+        "dropout_p_duration_predictor": 0.5,
+        "kernel_size_posterior_encoder": 5,
+        "dilation_rate_posterior_encoder": 1,
+        "num_layers_posterior_encoder": 16,
+        "kernel_size_flow": 5,
+        "dilation_rate_flow": 1,
+        "num_layers_flow": 4,
+        "resblock_type_decoder": "2",
+        "resblock_kernel_sizes_decoder": [
+            3,
+            7,
+            11
+        ],
+        "resblock_dilation_sizes_decoder": [
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
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+                5
+            ]
+        ],
+        "upsample_rates_decoder": [
+            8,
+            8,
+            2,
+            2
+        ],
+        "upsample_initial_channel_decoder": 512,
+        "upsample_kernel_sizes_decoder": [
+            16,
+            16,
+            4,
+            4
+        ],
+        "periods_multi_period_discriminator": [
+            2,
+            3,
+            5,
+            7,
+            11
+        ],
+        "use_sdp": true,
+        "noise_scale": 1.0,
+        "inference_noise_scale": 0.667,
+        "length_scale": 1.0,
+        "noise_scale_dp": 1.0,
+        "inference_noise_scale_dp": 1.0,
+        "max_inference_len": null,
+        "init_discriminator": true,
+        "use_spectral_norm_disriminator": false,
+        "use_speaker_embedding": false,
+        "num_speakers": 0,
+        "speakers_file": "/content/drive/MyDrive/Pretraining/output/YourTTS-April-12-2026_06+14PM-0000000/speakers.pth",
+        "d_vector_file": [
+            "/content/dataset/vctk/speakers_embedding.pth"
+        ],
+        "speaker_embedding_channels": 256,
+        "use_d_vector_file": true,
+        "d_vector_dim": 512,
+        "detach_dp_input": true,
+        "use_language_embedding": true,
+        "embedded_language_dim": 4,
+        "num_languages": 0,
+        "language_ids_file": "/content/drive/MyDrive/Pretraining/output/YourTTS-April-12-2026_06+14PM-0000000/language_ids.json",
+        "use_speaker_encoder_as_loss": true,
+        "speaker_encoder_config_path": "/content/dataset/vctk/config_se.json",
+        "speaker_encoder_model_path": "/content/dataset/vctk/model_se.pth.tar",
+        "condition_dp_on_speaker": true,
+        "freeze_encoder": false,
+        "freeze_DP": false,
+        "freeze_PE": false,
+        "freeze_flow_decoder": false,
+        "freeze_waveform_decoder": false,
+        "encoder_sample_rate": null,
+        "interpolate_z": true,
+        "reinit_DP": false,
+        "reinit_text_encoder": false
+    },
+    "_supports_cloning": false,
+    "use_phonemes": false,
+    "phonemizer": null,
+    "phoneme_language": null,
+    "compute_input_seq_cache": false,
+    "text_cleaner": "multilingual_cleaners",
+    "enable_eos_bos_chars": false,
+    "test_sentences_file": "",
+    "phoneme_cache_path": null,
+    "characters": null,
+    "add_blank": true,
+    "batch_group_size": 0,
+    "loss_masking": null,
+    "min_audio_len": 1,
+    "max_audio_len": 220500,
+    "min_text_len": 1,
+    "max_text_len": Infinity,
+    "compute_f0": false,
+    "compute_energy": false,
+    "compute_linear_spec": true,
+    "precompute_num_workers": 0,
+    "start_by_longest": false,
+    "shuffle": true,
+    "drop_last": false,
+    "datasets": [
+        {
+            "formatter": "vctk_old",
+            "dataset_name": "indonesian_dataset",
+            "path": "/content/dataset/vctk",
+            "meta_file_train": "metadata_train.csv",
+            "ignored_speakers": null,
+            "language": "id",
+            "phonemizer": "",
+            "meta_file_val": "metadata_val.csv",
+            "meta_file_attn_mask": ""
+        }
+    ],
+    "test_sentences": [
+        [
+            "Halo, selamat pagi. Ini adalah kalimat uji coba untuk model TTS Bahasa Indonesia.",
+            null,
+            null
+        ],
+        [
+            "Saya sedang belajar membuat model untuk tugas akhir saya.",
+            null,
+            null
+        ],
+        [
+            "Bahasa Indonesia adalah bahasa yang indah dan kaya akan keragaman.",
+            null,
+            null
+        ]
+    ],
+    "eval_split_max_size": 256,
+    "eval_split_size": 0.001,
+    "use_speaker_weighted_sampler": true,
+    "speaker_weighted_sampler_alpha": 1.0,
+    "use_language_weighted_sampler": false,
+    "language_weighted_sampler_alpha": 1.0,
+    "use_length_weighted_sampler": false,
+    "length_weighted_sampler_alpha": 1.0,
+    "lr_gen": 0.00018,
+    "lr_disc": 0.0002,
+    "lr_scheduler_gen": "ExponentialLR",
+    "lr_scheduler_gen_params": {
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+        "last_epoch": -1
+    },
+    "lr_scheduler_disc": "ExponentialLR",
+    "lr_scheduler_disc_params": {
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+        "last_epoch": -1
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+    "return_wav": true,
+    "use_weighted_sampler": false,
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+    "speaker_embedding_channels": 256,
+    "language_ids_file": "/content/drive/MyDrive/Pretraining/output/YourTTS-April-12-2026_06+14PM-0000000/language_ids.json",
+    "use_language_embedding": true,
+    "use_d_vector_file": true,
+    "d_vector_file": [
+        "/content/dataset/vctk/speakers_embedding.pth"
+    ],
+    "d_vector_dim": 512
+}

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