Spaces:
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tts trained model added
Browse files- tss_model/config.json +404 -0
- tss_model/model_file.pth +3 -0
tss_model/config.json
ADDED
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1 |
+
{
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2 |
+
"output_path": "../checkpoints/VITS-multilingual/VITS_fixes/new/new-SE/use_noise_aument_false/xlarge-ZS-PT-VCTK/pt-en+LibriTTS-fr/speaker_encoder_as_loss_9_alpha/mixed-p-false-bug-SDP-fixed/",
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"logger_uri": null,
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"run_name": "vits_tts-portuguese",
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"project_name": null,
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"run_description": "",
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"print_step": 25,
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8 |
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"plot_step": 100,
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9 |
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"model_param_stats": false,
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10 |
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"wandb_entity": null,
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"dashboard_logger": "tensorboard",
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"save_on_interrupt": true,
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"log_model_step": 10000,
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"save_step": 10000,
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"save_n_checkpoints": 5,
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"save_checkpoints": true,
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"save_all_best": false,
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"save_best_after": 10000,
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"target_loss": null,
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"print_eval": true,
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"test_delay_epochs": -1,
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"run_eval": true,
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"run_eval_steps": null,
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"distributed_backend": "nccl",
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"distributed_url": "tcp://localhost:54321",
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"mixed_precision": false,
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"precision": "fp16",
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28 |
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"epochs": 1000,
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"batch_size": 52,
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"eval_batch_size": 52,
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"grad_clip": [
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5.0,
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33 |
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5.0
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],
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"scheduler_after_epoch": true,
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"lr": 0.001,
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"optimizer": "AdamW",
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"optimizer_params": {
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"betas": [
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0.8,
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0.99
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],
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"eps": 1e-09,
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"weight_decay": 0.01
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},
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"lr_scheduler": "",
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"lr_scheduler_params": null,
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"use_grad_scaler": false,
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"allow_tf32": false,
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"cudnn_enable": true,
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"cudnn_deterministic": false,
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"cudnn_benchmark": true,
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"training_seed": 54321,
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54 |
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"model": "vits",
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55 |
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"num_loader_workers": 4,
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"num_eval_loader_workers": 4,
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"use_noise_augment": false,
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"audio": {
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"fft_size": 1024,
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60 |
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"sample_rate": 16000,
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61 |
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"win_length": 1024,
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"hop_length": 256,
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"num_mels": 80,
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"mel_fmin": 0,
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"mel_fmax": null
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},
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"use_phonemes": false,
|
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"phonemizer": null,
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"phoneme_language": "pt-br",
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"compute_input_seq_cache": false,
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"text_cleaner": "multilingual_cleaners",
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72 |
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"enable_eos_bos_chars": false,
|
73 |
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"test_sentences_file": "",
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74 |
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"phoneme_cache_path": null,
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"characters": {
|
76 |
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"characters_class": "TTS.tts.models.vits.VitsCharacters",
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77 |
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"vocab_dict": null,
|
78 |
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"pad": "_",
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79 |
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"eos": "&",
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80 |
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"bos": "*",
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81 |
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"blank": null,
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82 |
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"characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00af\u00b7\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u00ff\u0101\u0105\u0107\u0113\u0119\u011b\u012b\u0131\u0142\u0144\u014d\u0151\u0153\u015b\u016b\u0171\u017a\u017c\u01ce\u01d0\u01d2\u01d4\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f\u0451\u0454\u0456\u0457\u0491\u2013!'(),-.:;? ",
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83 |
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"punctuations": "!'(),-.:;? ",
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84 |
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"phonemes": "",
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85 |
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"is_unique": true,
|
86 |
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"is_sorted": true
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87 |
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},
|
88 |
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"add_blank": true,
|
89 |
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"batch_group_size": 0,
|
90 |
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"loss_masking": null,
|
91 |
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"min_audio_len": 1,
|
92 |
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"max_audio_len": Infinity,
|
93 |
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"min_text_len": 1,
|
94 |
+
"max_text_len": Infinity,
|
95 |
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"compute_f0": false,
|
96 |
+
"compute_energy": false,
|
97 |
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"compute_linear_spec": true,
|
98 |
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"precompute_num_workers": 0,
|
99 |
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"start_by_longest": false,
|
100 |
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"shuffle": false,
|
101 |
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"drop_last": false,
|
102 |
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"datasets": [
|
103 |
+
{
|
104 |
+
"formatter": "",
|
105 |
+
"dataset_name": "",
|
106 |
+
"path": "../../datasets/VCTK-Corpus-removed-silence_16Khz/",
|
107 |
+
"meta_file_train": null,
|
108 |
+
"ignored_speakers": null,
|
109 |
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"language": "en",
|
110 |
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"phonemizer": "",
|
111 |
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"meta_file_val": null,
|
112 |
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"meta_file_attn_mask": ""
|
113 |
+
},
|
114 |
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{
|
115 |
+
"formatter": "",
|
116 |
+
"dataset_name": "",
|
117 |
+
"path": "../../datasets/LibriTTS/LibriTTS/dataset-preprocessed-clean-100-and-360/dataset-22k/",
|
118 |
+
"meta_file_train": "metadata_all.csv",
|
119 |
+
"ignored_speakers": null,
|
120 |
+
"language": "en",
|
121 |
+
"phonemizer": "",
|
122 |
+
"meta_file_val": "dev-clean_500.csv",
|
123 |
+
"meta_file_attn_mask": ""
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"formatter": "",
|
127 |
+
"dataset_name": "",
|
128 |
+
"path": "../../datasets/TTS-Portuguese-Corpus_16khz/",
|
129 |
+
"meta_file_train": "train_TTS-Portuguese_Corpus_metadata.csv",
|
130 |
+
"ignored_speakers": null,
|
131 |
+
"language": "pt-br",
|
132 |
+
"phonemizer": "",
|
133 |
+
"meta_file_val": "eval_TTS-Portuguese_Corpus_metadata.csv",
|
134 |
+
"meta_file_attn_mask": ""
|
135 |
+
},
|
136 |
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{
|
137 |
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"formatter": "",
|
138 |
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"dataset_name": "",
|
139 |
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"path": "../../datasets/M-AILABS/fr_FR",
|
140 |
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"meta_file_train": "",
|
141 |
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"ignored_speakers": null,
|
142 |
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"language": "fr-fr",
|
143 |
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"phonemizer": "",
|
144 |
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"meta_file_val": null,
|
145 |
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"meta_file_attn_mask": null
|
146 |
+
}
|
147 |
+
],
|
148 |
+
"test_sentences": [
|
149 |
+
[
|
150 |
+
"It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
|
151 |
+
"VCTK_p225",
|
152 |
+
null,
|
153 |
+
"en"
|
154 |
+
],
|
155 |
+
[
|
156 |
+
"It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
|
157 |
+
"ED",
|
158 |
+
null,
|
159 |
+
"en"
|
160 |
+
],
|
161 |
+
[
|
162 |
+
"It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
|
163 |
+
"bernard",
|
164 |
+
null,
|
165 |
+
"en"
|
166 |
+
],
|
167 |
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[
|
168 |
+
"This cake is great. It's so delicious and moist.",
|
169 |
+
"VCTK_p234",
|
170 |
+
null,
|
171 |
+
"en"
|
172 |
+
],
|
173 |
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[
|
174 |
+
"This cake is great. It's so delicious and moist.",
|
175 |
+
"ED",
|
176 |
+
null,
|
177 |
+
"en"
|
178 |
+
],
|
179 |
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[
|
180 |
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"This cake is great. It's so delicious and moist.",
|
181 |
+
"ezwa",
|
182 |
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null,
|
183 |
+
"en"
|
184 |
+
],
|
185 |
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[
|
186 |
+
"Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.",
|
187 |
+
"ED",
|
188 |
+
null,
|
189 |
+
"pt-br"
|
190 |
+
],
|
191 |
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[
|
192 |
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"Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.",
|
193 |
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"VCTK_p238",
|
194 |
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null,
|
195 |
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"pt-br"
|
196 |
+
],
|
197 |
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[
|
198 |
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"Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.",
|
199 |
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"gilles_g_le_blanc",
|
200 |
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null,
|
201 |
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"pt-br"
|
202 |
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],
|
203 |
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[
|
204 |
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"Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.",
|
205 |
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"ED",
|
206 |
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null,
|
207 |
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"pt-br"
|
208 |
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],
|
209 |
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[
|
210 |
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"Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.",
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211 |
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"VCTK_p245",
|
212 |
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null,
|
213 |
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"pt-br"
|
214 |
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],
|
215 |
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[
|
216 |
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"Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.",
|
217 |
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"nadine_eckert_boulet",
|
218 |
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null,
|
219 |
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"pt-br"
|
220 |
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],
|
221 |
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[
|
222 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
223 |
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"VCTK_p245",
|
224 |
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null,
|
225 |
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"fr-fr"
|
226 |
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],
|
227 |
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[
|
228 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
229 |
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"ED",
|
230 |
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null,
|
231 |
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"fr-fr"
|
232 |
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],
|
233 |
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[
|
234 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
235 |
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"ezwa",
|
236 |
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null,
|
237 |
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"fr-fr"
|
238 |
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],
|
239 |
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[
|
240 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
241 |
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"bernard",
|
242 |
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null,
|
243 |
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"fr-fr"
|
244 |
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],
|
245 |
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[
|
246 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
247 |
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"gilles_g_le_blanc",
|
248 |
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null,
|
249 |
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"fr-fr"
|
250 |
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],
|
251 |
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[
|
252 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
253 |
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"nadine_eckert_boulet",
|
254 |
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null,
|
255 |
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"fr-fr"
|
256 |
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],
|
257 |
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[
|
258 |
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"Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.",
|
259 |
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"zeckou",
|
260 |
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null,
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|
tss_model/model_file.pth
ADDED
@@ -0,0 +1,3 @@
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