Yurii Paniv commited on
Commit
8812d27
1 Parent(s): 9e96240

Add female voice in multispeaker model

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Files changed (4) hide show
  1. LICENSE.models +619 -0
  2. README.md +11 -5
  3. app.py +45 -17
  4. config.json +69 -34
LICENSE.models ADDED
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+ 12. No Surrender of Others' Freedom.
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+ 13. Use with the GNU Affero General Public License.
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+ 14. Revised Versions of this License.
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+ 17. Interpretation of Sections 15 and 16.
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+ If the disclaimer of warranty and limitation of liability provided
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616
+ reviewing courts shall apply local law that most closely approximates
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+ an absolute waiver of all civil liability in connection with the
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+ Program, unless a warranty or assumption of liability accompanies a
619
+ copy of the Program in return for a fee.
README.md CHANGED
@@ -11,14 +11,20 @@ pinned: false
11
  # Ukrainian TTS 📢🤖
12
  Ukrainian TTS (text-to-speech) using Coqui TTS.
13
 
14
- Trained on [M-AILABS Ukrainian dataset](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/).
15
-
16
  Link to online demo -> [https://huggingface.co/spaces/robinhad/ukrainian-tts](https://huggingface.co/spaces/robinhad/ukrainian-tts)
 
 
17
  # Support
18
  If you like my work, please support -> ![mono](https://www.monobank.ua/favicon.ico) [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm)
19
  # Example
20
 
21
- https://user-images.githubusercontent.com/5759207/167310298-2f384cb0-ebef-4a92-931b-3ff6fac6c99c.mp4
 
 
 
 
 
 
22
 
23
  # How to use :
24
  1. `pip install -r requirements.txt`.
@@ -26,13 +32,13 @@ https://user-images.githubusercontent.com/5759207/167310298-2f384cb0-ebef-4a92-9
26
  3. Launch as one-time command:
27
  ```
28
  tts --text "Text for TTS" \
29
- --model_path path/to/model.pth.tar \
30
  --config_path path/to/config.json \
31
  --out_path folder/to/save/output.wav
32
  ```
33
  or alternatively launch web server using:
34
  ```
35
- tts-server --model_path path/to/model.pth.tar \
36
  --config_path path/to/config.json
37
  ```
38
 
11
  # Ukrainian TTS 📢🤖
12
  Ukrainian TTS (text-to-speech) using Coqui TTS.
13
 
 
 
14
  Link to online demo -> [https://huggingface.co/spaces/robinhad/ukrainian-tts](https://huggingface.co/spaces/robinhad/ukrainian-tts)
15
+
16
+ Code is licensed under `MIT License`, models are under `GNU GPL v3 License`.
17
  # Support
18
  If you like my work, please support -> ![mono](https://www.monobank.ua/favicon.ico) [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm)
19
  # Example
20
 
21
+ `Mykyta (male)`:
22
+
23
+ https://user-images.githubusercontent.com/5759207/178158485-29a5d496-7eeb-4938-8ea7-c345bc9fed57.mp4
24
+
25
+ `Olena (female)`:
26
+
27
+ https://user-images.githubusercontent.com/5759207/178158492-8504080e-2f13-43f1-83f0-489b1f9cd66b.mp4
28
 
29
  # How to use :
30
  1. `pip install -r requirements.txt`.
32
  3. Launch as one-time command:
33
  ```
34
  tts --text "Text for TTS" \
35
+ --model_path path/to/model.pth \
36
  --config_path path/to/config.json \
37
  --out_path folder/to/save/output.wav
38
  ```
39
  or alternatively launch web server using:
40
  ```
41
+ tts-server --model_path path/to/model.pth \
42
  --config_path path/to/config.json
43
  ```
44
 
app.py CHANGED
@@ -10,55 +10,75 @@ from datetime import datetime
10
  from enum import Enum
11
  import torch
12
 
 
13
  class StressOption(Enum):
14
  ManualStress = "Наголоси вручну"
15
  AutomaticStress = "Автоматичні наголоси (Beta)"
16
 
17
 
 
 
 
 
 
18
  def download(url, file_name):
19
  if not exists(file_name):
20
  print(f"Downloading {file_name}")
21
  r = requests.get(url, allow_redirects=True)
22
- with open(file_name, 'wb') as file:
23
  file.write(r.content)
24
  else:
25
  print(f"Found {file_name}. Skipping download...")
26
 
27
 
28
  print("downloading uk/mykyta/vits-tts")
29
- release_number = "v2.0.0-beta"
30
  model_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/model-inference.pth"
31
  config_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/config.json"
 
32
 
33
  model_path = "model.pth"
34
  config_path = "config.json"
 
35
 
36
  download(model_link, model_path)
37
  download(config_link, config_path)
 
38
 
39
- badge = "https://visitor-badge-reloaded.herokuapp.com/badge?page_id=robinhad.ukrainian-tts"
 
 
40
 
41
  synthesizer = Synthesizer(
42
- model_path, config_path, None, None, None,
 
 
 
 
43
  )
44
 
45
  if synthesizer is None:
46
  raise NameError("model not found")
47
 
48
- def tts(text: str, stress: str):
 
49
  print("============================")
50
  print("Original text:", text)
 
51
  print("Stress:", stress)
52
  print("Time:", datetime.utcnow())
53
  autostress = True if stress == StressOption.AutomaticStress.value else False
 
54
  text = preprocess_text(text, autostress)
55
  text_limit = 1200
56
- text = text if len(text) < text_limit else text[0:text_limit] # mitigate crashes on hf space
 
 
57
  print("Converted:", text)
58
 
59
  with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
60
  with torch.no_grad():
61
- wavs = synthesizer.tts(text)
62
  synthesizer.save_wav(wavs, fp)
63
  return fp.name, text
64
 
@@ -71,22 +91,30 @@ iface = gr.Interface(
71
  default="Введ+іть, б+удь л+аска, сво+є р+ечення.",
72
  ),
73
  gr.inputs.Radio(
74
- label="Опції",
 
 
 
 
75
  choices=[option.value for option in StressOption],
76
  ),
77
  ],
78
- outputs=[gr.outputs.Audio(label="Output"), gr.outputs.Textbox(label="Наголошений текст")],
 
 
 
79
  title="🐸💬🇺🇦 - Coqui TTS",
80
  theme="huggingface",
81
  description="Україномовний🇺🇦 TTS за допомогою Coqui TTS (для наголосу використовуйте + перед голосною)",
82
- article="Якщо вам подобається, підтримайте за посиланням: [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm), " +
83
- "Github: [https://github.com/robinhad/ukrainian-tts](https://github.com/robinhad/ukrainian-tts)" +
84
- f"<center><img src=\"{badge}\" alt=\"visitors badge\"/></center>",
85
  examples=[
86
- ["Введ+іть, б+удь л+аска, сво+є р+ечення.", StressOption.ManualStress.value],
87
- ["Введіть, будь ласка, своє речення.", StressOption.ManualStress.value],
88
- ["Привіт, як тебе звати?", StressOption.AutomaticStress.value],
89
- ["Договір підписано 4 квітня 1949 року.", StressOption.AutomaticStress.value],
90
- ]
 
91
  )
92
  iface.launch(enable_queue=True, prevent_thread_lock=True)
10
  from enum import Enum
11
  import torch
12
 
13
+
14
  class StressOption(Enum):
15
  ManualStress = "Наголоси вручну"
16
  AutomaticStress = "Автоматичні наголоси (Beta)"
17
 
18
 
19
+ class VoiceOption(Enum):
20
+ MaleVoice = "Микита (чоловічий)"
21
+ FemaleVoice = "Олена (жіночий)"
22
+
23
+
24
  def download(url, file_name):
25
  if not exists(file_name):
26
  print(f"Downloading {file_name}")
27
  r = requests.get(url, allow_redirects=True)
28
+ with open(file_name, "wb") as file:
29
  file.write(r.content)
30
  else:
31
  print(f"Found {file_name}. Skipping download...")
32
 
33
 
34
  print("downloading uk/mykyta/vits-tts")
35
+ release_number = "v2.0.0"
36
  model_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/model-inference.pth"
37
  config_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/config.json"
38
+ speakers_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/speakers.pth"
39
 
40
  model_path = "model.pth"
41
  config_path = "config.json"
42
+ speakers_path = "speakers.pth"
43
 
44
  download(model_link, model_path)
45
  download(config_link, config_path)
46
+ download(speakers_link, speakers_path)
47
 
48
+ badge = (
49
+ "https://visitor-badge-reloaded.herokuapp.com/badge?page_id=robinhad.ukrainian-tts"
50
+ )
51
 
52
  synthesizer = Synthesizer(
53
+ model_path,
54
+ config_path,
55
+ speakers_path,
56
+ None,
57
+ None,
58
  )
59
 
60
  if synthesizer is None:
61
  raise NameError("model not found")
62
 
63
+
64
+ def tts(text: str, voice: str, stress: str):
65
  print("============================")
66
  print("Original text:", text)
67
+ print("Voice", voice)
68
  print("Stress:", stress)
69
  print("Time:", datetime.utcnow())
70
  autostress = True if stress == StressOption.AutomaticStress.value else False
71
+ speaker_name = "male1" if voice == VoiceOption.MaleVoice.value else "female3"
72
  text = preprocess_text(text, autostress)
73
  text_limit = 1200
74
+ text = (
75
+ text if len(text) < text_limit else text[0:text_limit]
76
+ ) # mitigate crashes on hf space
77
  print("Converted:", text)
78
 
79
  with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
80
  with torch.no_grad():
81
+ wavs = synthesizer.tts(text, speaker_name=speaker_name)
82
  synthesizer.save_wav(wavs, fp)
83
  return fp.name, text
84
 
91
  default="Введ+іть, б+удь л+аска, сво+є р+ечення.",
92
  ),
93
  gr.inputs.Radio(
94
+ label="Голос",
95
+ choices=[option.value for option in VoiceOption],
96
+ ),
97
+ gr.inputs.Radio(
98
+ label="Наголоси",
99
  choices=[option.value for option in StressOption],
100
  ),
101
  ],
102
+ outputs=[
103
+ gr.outputs.Audio(label="Output"),
104
+ gr.outputs.Textbox(label="Наголошений текст"),
105
+ ],
106
  title="🐸💬🇺🇦 - Coqui TTS",
107
  theme="huggingface",
108
  description="Україномовний🇺🇦 TTS за допомогою Coqui TTS (для наголосу використовуйте + перед голосною)",
109
+ article="Якщо вам подобається, підтримайте за посиланням: [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm), "
110
+ + "Github: [https://github.com/robinhad/ukrainian-tts](https://github.com/robinhad/ukrainian-tts)"
111
+ + f'<center><img src="{badge}" alt="visitors badge"/></center>',
112
  examples=[
113
+ ["Введ+іть, б+удь л+аска, сво+є р+ечення.", VoiceOption.FemaleVoice.value, StressOption.ManualStress.value],
114
+ ["Введ+іть, б+удь л+аска, сво+є р+ечення.", VoiceOption.MaleVoice.value, StressOption.ManualStress.value],
115
+ ["Введіть, будь ласка, своє речення.", VoiceOption.MaleVoice.value, StressOption.ManualStress.value],
116
+ ["Привіт, як тебе звати?", VoiceOption.FemaleVoice.value, StressOption.AutomaticStress.value],
117
+ ["Договір підписано 4 квітня 1949 року.", VoiceOption.FemaleVoice.value, StressOption.AutomaticStress.value],
118
+ ],
119
  )
120
  iface.launch(enable_queue=True, prevent_thread_lock=True)
config.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "output_path": "./model",
3
  "logger_uri": null,
4
- "run_name": "vits_mykyta",
5
  "project_name": null,
6
  "run_description": "\ud83d\udc38Coqui trainer run.",
7
  "print_step": 25,
@@ -9,7 +9,7 @@
9
  "model_param_stats": false,
10
  "wandb_entity": null,
11
  "dashboard_logger": "tensorboard",
12
- "log_model_step": null,
13
  "save_step": 10000,
14
  "save_n_checkpoints": 5,
15
  "save_checkpoints": true,
@@ -58,22 +58,22 @@
58
  "frame_shift_ms": null,
59
  "frame_length_ms": null,
60
  "stft_pad_mode": "reflect",
61
- "sample_rate": 48000,
62
  "resample": false,
63
  "preemphasis": 0.0,
64
- "ref_level_db": 20,
65
  "do_sound_norm": true,
66
- "log_func": "np.log10",
67
- "do_trim_silence": true,
68
- "trim_db": 45,
69
  "do_rms_norm": false,
70
  "db_level": null,
71
- "power": 1.5,
72
  "griffin_lim_iters": 60,
73
  "num_mels": 80,
74
  "mel_fmin": 0.0,
75
- "mel_fmax": null,
76
- "spec_gain": 1,
77
  "do_amp_to_db_linear": true,
78
  "do_amp_to_db_mel": true,
79
  "pitch_fmax": 640.0,
@@ -81,7 +81,7 @@
81
  "signal_norm": true,
82
  "min_level_db": -100,
83
  "symmetric_norm": true,
84
- "max_norm": 4.0,
85
  "clip_norm": true,
86
  "stats_path": null
87
  },
@@ -92,7 +92,7 @@
92
  "text_cleaner": "basic_cleaners",
93
  "enable_eos_bos_chars": false,
94
  "test_sentences_file": "",
95
- "phoneme_cache_path": "./phoneme_cache",
96
  "characters": {
97
  "characters_class": "TTS.tts.models.vits.VitsCharacters",
98
  "vocab_dict": null,
@@ -100,7 +100,7 @@
100
  "eos": "<EOS>",
101
  "bos": "<BOS>",
102
  "blank": "<BLNK>",
103
- "characters": "!\"'(),-/:;?\u00ab\u00bb+\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\u044c\u044e\u044f\u0454\u0456\u0457\u0491\u2013\u2014\u2015\u2018\u2019\u201c\u201d\u201e\u2026 ",
104
  "punctuations": "!\"'(),-/:;?\u00ab\u00bb+\u2013\u2014\u2015\u2018\u2019\u201c\u201d\u201e\u2026 ",
105
  "phonemes": null,
106
  "is_unique": true,
@@ -109,9 +109,9 @@
109
  "add_blank": true,
110
  "batch_group_size": 0,
111
  "loss_masking": null,
112
- "sort_by_audio_len": false,
113
- "min_audio_len": 24000,
114
- "max_audio_len": 624000,
115
  "min_text_len": 1,
116
  "max_text_len": Infinity,
117
  "compute_f0": false,
@@ -120,27 +120,51 @@
120
  "start_by_longest": false,
121
  "datasets": [
122
  {
123
- "name": "ljspeech",
124
- "path": "./dataset",
125
- "meta_file_train": "metadata.csv",
126
- "ignored_speakers": null,
 
 
 
127
  "language": "",
128
  "meta_file_val": "",
129
  "meta_file_attn_mask": ""
130
  }
131
  ],
132
  "test_sentences": [
 
 
 
 
 
 
133
  [
134
  "\u0413\u043e\u0432\u043e\u0440+\u0438, \u043d+\u0456\u0431\u0438 \u0442+\u0438 \u0436\u0438\u0432+\u0438\u0439!"
135
  ],
136
  [
137
- "\u041f\u0435\u0440\u0435\u043f\u0440+\u043e\u0448\u0443\u044e, \u0414+\u0435\u0439\u0432\u0435, \u043d+\u0430 \u0436+\u0430\u043b\u044c, +\u044f \u043d+\u0435 \u043c+\u043e\u0436\u0443 \u0437\u0440\u043e\u0431+\u0438\u0442\u0438 \u0446+\u0435."
 
 
 
 
 
 
 
 
 
138
  ],
139
  [
140
- "\u0425\u0442+\u043e \u0442+\u0438 \u0442\u0430\u043a+\u0438\u0439 +\u0456 +\u044f\u043a \u0442\u0435\u0431+\u0435 \u0437\u0432+\u0430\u0442\u0438?"
 
 
 
141
  ],
142
  [
143
- "\u041a+\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u0438\u0439 - \u043c+\u0456\u0441\u0442\u043e \u0432 \u0425\u043c\u0435\u043b\u044c\u043d+\u0438\u0446\u044c\u043a\u0456\u0439 +\u043e\u0431\u043b\u0430\u0441\u0442\u0456 \u0423\u043a\u0440\u0430+\u0457\u043d\u0438, \u0446+\u0435\u043d\u0442\u0440 \u041a\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u043e\u0457 \u043c\u0456\u0441\u044c\u043a+\u043e\u0457 \u043e\u0431'+\u0454\u0434\u043d\u0430\u043d\u043e\u0457 \u0442\u0435\u0440\u0438\u0442\u043e\u0440\u0456+\u0430\u043b\u044c\u043d\u043e\u0457 \u0433\u0440\u043e\u043c+\u0430\u0434\u0438 +\u0456 \u041a\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u043e\u0433\u043e \u0440\u0430\u0439+\u043e\u043d\u0443."
 
 
 
144
  ]
145
  ],
146
  "eval_split_max_size": null,
@@ -149,8 +173,10 @@
149
  "speaker_weighted_sampler_alpha": 1.0,
150
  "use_language_weighted_sampler": false,
151
  "language_weighted_sampler_alpha": 1.0,
 
 
152
  "model_args": {
153
- "num_chars": 83,
154
  "out_channels": 513,
155
  "spec_segment_size": 32,
156
  "hidden_channels": 192,
@@ -202,6 +228,13 @@
202
  4,
203
  4
204
  ],
 
 
 
 
 
 
 
205
  "use_sdp": true,
206
  "noise_scale": 1.0,
207
  "inference_noise_scale": 0.667,
@@ -211,9 +244,9 @@
211
  "max_inference_len": null,
212
  "init_discriminator": true,
213
  "use_spectral_norm_disriminator": false,
214
- "use_speaker_embedding": false,
215
- "num_speakers": 0,
216
- "speakers_file": null,
217
  "d_vector_file": null,
218
  "speaker_embedding_channels": 256,
219
  "use_d_vector_file": false,
@@ -231,7 +264,11 @@
231
  "freeze_DP": false,
232
  "freeze_PE": false,
233
  "freeze_flow_decoder": false,
234
- "freeze_waveform_decoder": false
 
 
 
 
235
  },
236
  "lr_gen": 0.0002,
237
  "lr_disc": 0.0002,
@@ -255,14 +292,12 @@
255
  "return_wav": true,
256
  "r": 1,
257
  "num_speakers": 0,
258
- "use_speaker_embedding": false,
259
- "speakers_file": null,
260
  "speaker_embedding_channels": 256,
261
  "language_ids_file": null,
262
  "use_language_embedding": false,
263
  "use_d_vector_file": false,
264
  "d_vector_file": null,
265
- "d_vector_dim": 0,
266
- "restore_path": "./vits_mykyta-May-06-2022_12+17AM-c410bc58/best_model_90901.pth",
267
- "github_branch": "* (HEAD detached at v0.6.2)"
268
  }
1
  {
2
+ "output_path": "/home/robinhad/Projects/TTS",
3
  "logger_uri": null,
4
+ "run_name": "vits_mykyta_woman",
5
  "project_name": null,
6
  "run_description": "\ud83d\udc38Coqui trainer run.",
7
  "print_step": 25,
9
  "model_param_stats": false,
10
  "wandb_entity": null,
11
  "dashboard_logger": "tensorboard",
12
+ "log_model_step": 10000,
13
  "save_step": 10000,
14
  "save_n_checkpoints": 5,
15
  "save_checkpoints": true,
58
  "frame_shift_ms": null,
59
  "frame_length_ms": null,
60
  "stft_pad_mode": "reflect",
61
+ "sample_rate": 22050,
62
  "resample": false,
63
  "preemphasis": 0.0,
64
+ "ref_level_db": 35,
65
  "do_sound_norm": true,
66
+ "log_func": "np.log",
67
+ "do_trim_silence": false,
68
+ "trim_db": 35,
69
  "do_rms_norm": false,
70
  "db_level": null,
71
+ "power": 1.1,
72
  "griffin_lim_iters": 60,
73
  "num_mels": 80,
74
  "mel_fmin": 0.0,
75
+ "mel_fmax": 8000.0,
76
+ "spec_gain": 6,
77
  "do_amp_to_db_linear": true,
78
  "do_amp_to_db_mel": true,
79
  "pitch_fmax": 640.0,
81
  "signal_norm": true,
82
  "min_level_db": -100,
83
  "symmetric_norm": true,
84
+ "max_norm": 1.0,
85
  "clip_norm": true,
86
  "stats_path": null
87
  },
92
  "text_cleaner": "basic_cleaners",
93
  "enable_eos_bos_chars": false,
94
  "test_sentences_file": "",
95
+ "phoneme_cache_path": "/home/robinhad/Projects/TTS/phoneme_cache",
96
  "characters": {
97
  "characters_class": "TTS.tts.models.vits.VitsCharacters",
98
  "vocab_dict": null,
100
  "eos": "<EOS>",
101
  "bos": "<BOS>",
102
  "blank": "<BLNK>",
103
+ "characters": "!\"'(),-/:;.?\u00ab\u00bb+\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\u044c\u044e\u044f\u0454\u0456\u0457\u0491\u2013\u2014\u2015\u2018\u2019\u201c\u201d\u201e\u2026 ",
104
  "punctuations": "!\"'(),-/:;?\u00ab\u00bb+\u2013\u2014\u2015\u2018\u2019\u201c\u201d\u201e\u2026 ",
105
  "phonemes": null,
106
  "is_unique": true,
109
  "add_blank": true,
110
  "batch_group_size": 0,
111
  "loss_masking": null,
112
+ "sort_by_audio_len": true,
113
+ "min_audio_len": 1,
114
+ "max_audio_len": 264600,
115
  "min_text_len": 1,
116
  "max_text_len": Infinity,
117
  "compute_f0": false,
120
  "start_by_longest": false,
121
  "datasets": [
122
  {
123
+ "name": "mailabs",
124
+ "path": "./mailabs-processed",
125
+ "meta_file_train": "",
126
+ "ignored_speakers": [
127
+ "female1",
128
+ "female2"
129
+ ],
130
  "language": "",
131
  "meta_file_val": "",
132
  "meta_file_attn_mask": ""
133
  }
134
  ],
135
  "test_sentences": [
136
+ [
137
+ "\u0414+\u0435\u0441\u044f\u0442\u044c \u0440\u0430\u0437+\u0456\u0432 \u0432\u0456\u0434\u043c+\u0456\u0440\u044f\u0439, +\u0430 \u0440+\u0430\u0437 - \u0432\u0456\u0434\u0440+\u0456\u0436.",
138
+ "female3",
139
+ null,
140
+ null
141
+ ],
142
  [
143
  "\u0413\u043e\u0432\u043e\u0440+\u0438, \u043d+\u0456\u0431\u0438 \u0442+\u0438 \u0436\u0438\u0432+\u0438\u0439!"
144
  ],
145
  [
146
+ "\u041f\u0435\u0440\u0435\u043f\u0440+\u043e\u0448\u0443\u044e, \u0414+\u0435\u0439\u0432\u0435, \u043d+\u0430 \u0436+\u0430\u043b\u044c, +\u044f \u043d+\u0435 \u043c+\u043e\u0436\u0443 \u0437\u0440\u043e\u0431+\u0438\u0442\u0438 \u0446+\u0435.",
147
+ "female3",
148
+ null,
149
+ null
150
+ ],
151
+ [
152
+ "\u041f\u0435\u0440\u0435\u043f\u0440+\u043e\u0448\u0443\u044e, \u0414+\u0435\u0439\u0432\u0435, \u043d+\u0430 \u0436+\u0430\u043b\u044c, +\u044f \u043d+\u0435 \u043c+\u043e\u0436\u0443 \u0437\u0440\u043e\u0431+\u0438\u0442\u0438 \u0446+\u0435.",
153
+ "male1",
154
+ null,
155
+ null
156
  ],
157
  [
158
+ "\u0425\u0442+\u043e \u0442+\u0438 \u0442\u0430\u043a+\u0438\u0439 +\u0456 +\u044f\u043a \u0442\u0435\u0431+\u0435 \u0437\u0432+\u0430\u0442\u0438?",
159
+ "male1",
160
+ null,
161
+ null
162
  ],
163
  [
164
+ "\u041a\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u0438\u0439 - \u043c+\u0456\u0441\u0442\u043e \u0432 \u0425\u043c\u0435\u043b\u044c\u043d+\u0438\u0446\u044c\u043a\u0456\u0439 +\u043e\u0431\u043b\u0430\u0441\u0442\u0456 \u0423\u043a\u0440\u0430+\u0457\u043d\u0438, \u0446+\u0435\u043d\u0442\u0440 \u041a\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u043e\u0457 \u043c\u0456\u0441\u044c\u043a+\u043e\u0457 \u043e\u0431'+\u0454\u0434\u043d\u0430\u043d\u043e\u0457 \u0442\u0435\u0440\u0438\u0442\u043e\u0440\u0456+\u0430\u043b\u044c\u043d\u043e\u0457 \u0433\u0440\u043e\u043c+\u0430\u0434\u0438 +\u0456 \u041a\u0430\u043c'\u044f\u043d+\u0435\u0446\u044c-\u041f\u043e\u0434+\u0456\u043b\u044c\u0441\u044c\u043a\u043e\u0433\u043e \u0440\u0430\u0439+\u043e\u043d\u0443.",
165
+ "female3",
166
+ null,
167
+ null
168
  ]
169
  ],
170
  "eval_split_max_size": null,
173
  "speaker_weighted_sampler_alpha": 1.0,
174
  "use_language_weighted_sampler": false,
175
  "language_weighted_sampler_alpha": 1.0,
176
+ "use_length_weighted_sampler": false,
177
+ "length_weighted_sampler_alpha": 1.0,
178
  "model_args": {
179
+ "num_chars": 84,
180
  "out_channels": 513,
181
  "spec_segment_size": 32,
182
  "hidden_channels": 192,
228
  4,
229
  4
230
  ],
231
+ "periods_multi_period_discriminator": [
232
+ 2,
233
+ 3,
234
+ 5,
235
+ 7,
236
+ 11
237
+ ],
238
  "use_sdp": true,
239
  "noise_scale": 1.0,
240
  "inference_noise_scale": 0.667,
244
  "max_inference_len": null,
245
  "init_discriminator": true,
246
  "use_spectral_norm_disriminator": false,
247
+ "use_speaker_embedding": true,
248
+ "num_speakers": 2,
249
+ "speakers_file": "./speakers.pth",
250
  "d_vector_file": null,
251
  "speaker_embedding_channels": 256,
252
  "use_d_vector_file": false,
264
  "freeze_DP": false,
265
  "freeze_PE": false,
266
  "freeze_flow_decoder": false,
267
+ "freeze_waveform_decoder": false,
268
+ "encoder_sample_rate": null,
269
+ "interpolate_z": true,
270
+ "reinit_DP": false,
271
+ "reinit_text_encoder": false
272
  },
273
  "lr_gen": 0.0002,
274
  "lr_disc": 0.0002,
292
  "return_wav": true,
293
  "r": 1,
294
  "num_speakers": 0,
295
+ "use_speaker_embedding": true,
296
+ "speakers_file": "./speakers.pth",
297
  "speaker_embedding_channels": 256,
298
  "language_ids_file": null,
299
  "use_language_embedding": false,
300
  "use_d_vector_file": false,
301
  "d_vector_file": null,
302
+ "d_vector_dim": 0
 
 
303
  }