More and better voices, faster because no diffusion at inferrence.

app.py

@@ -2,84 +2,22 @@ import glob
 import os
 import re
 import gradio as gr
-import onnxruntime
+
 import spaces
-from transformers import AutoTokenizer
-from huggingface_hub import hf_hub_download
-import numpy as np
+from verbalizer import Verbalizer
+
 import torch
 from ipa_uk import ipa
 from unicodedata import normalize
 from styletts2_inference.models import StyleTTS2
 from ukrainian_word_stress import Stressifier
 stressify = Stressifier()
-from text_utils import TextCleaner
-textclenaer = TextCleaner()
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
 prompts_dir = 'voices'
-prompts_list = sorted(glob.glob(os.path.join(prompts_dir, '*.wav')))
-prompts_list = ['.'.join(p.split('/')[-1].split('.')[:-1]) for p in prompts_list]
-
-verbalizer_model_name = "skypro1111/mbart-large-50-verbalization"
-
-def cache_model_from_hf(repo_id, model_dir="./"):
-    """Download ONNX models from HuggingFace Hub."""
-    files = ["onnx/encoder_model.onnx", "onnx/decoder_model.onnx", "onnx/decoder_model.onnx_data"]
-    
-    for file in files:
-        hf_hub_download(
-            repo_id=repo_id,
-            filename=file,
-            local_dir=model_dir,
-        )
-
-
-def create_onnx_session(model_path, use_gpu=True):
-    """Create an ONNX inference session."""
-    session_options = onnxruntime.SessionOptions()
-    session_options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
-    session_options.enable_mem_pattern = True
-    session_options.enable_mem_reuse = True
-    session_options.intra_op_num_threads = 8
-    session_options.log_severity_level = 1
-    
-    cuda_provider_options = {
-        'device_id': 0,
-        'arena_extend_strategy': 'kSameAsRequested',
-        'gpu_mem_limit': 0,  # 0 means no limit
-        'cudnn_conv_algo_search': 'DEFAULT',
-        'do_copy_in_default_stream': True,
-    }
-    
-    if use_gpu and 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
-        providers = [('CUDAExecutionProvider', cuda_provider_options)]
-    else:
-        providers = ['CPUExecutionProvider']
-    
-    session = onnxruntime.InferenceSession(
-        model_path,
-        providers=providers,
-        sess_options=session_options
-    )
-    
-    return session
-
-def init_verbalizer():
-    cache_model_from_hf(verbalizer_model_name)
-
-    print("Loading tokenizer...")
-    tokenizer = AutoTokenizer.from_pretrained(verbalizer_model_name)
-    tokenizer.src_lang = "uk_UA"
-    tokenizer.tgt_lang = "uk_UA"
-
-    print("Creating ONNX sessions...")
-    encoder_session = create_onnx_session("onnx/encoder_model.onnx")
-    decoder_session = create_onnx_session("onnx/decoder_model.onnx")
-    return tokenizer, encoder_session, decoder_session
 
-tokenizer, encoder_session, decoder_session = init_verbalizer()
+verbalizer = Verbalizer(device=device)
 
 
 def split_to_parts(text):
@@ -95,55 +33,31 @@ def split_to_parts(text):
 
 
 
-models = {
-    'multi': StyleTTS2(hf_path='patriotyk/styletts2_ukrainian_multispeaker', device=device),
-    'single': StyleTTS2(hf_path='patriotyk/styletts2_ukrainian_single', device=device)
-}
+single_model = StyleTTS2(hf_path='patriotyk/styletts2_ukrainian_single', device=device)
+single_style = torch.load('filatov.pt')
 
 
+multi_model = StyleTTS2(hf_path='patriotyk/styletts2_ukrainian_multispeaker', device=device)
+multi_styles = {}
 
-def generate_text(text):
-    """Generate text for a single input."""
-    # Prepare input
-    inputs = tokenizer(text, return_tensors="np", padding=True, truncation=True, max_length=512)
-    input_ids = inputs["input_ids"].astype(np.int64)
-    attention_mask = inputs["attention_mask"].astype(np.int64)
-    
-    # Run encoder
-    encoder_outputs = encoder_session.run(
-        output_names=["last_hidden_state"],
-        input_feed={
-            "input_ids": input_ids,
-            "attention_mask": attention_mask,
-        }
-    )[0]
-    
-    # Initialize decoder input
-    decoder_input_ids = np.array([[tokenizer.pad_token_id]], dtype=np.int64)
-    
-    # Generate sequence
-    for _ in range(512):
-        # Run decoder
-        decoder_outputs = decoder_session.run(
-            output_names=["logits"],
-            input_feed={
-                "input_ids": decoder_input_ids,
-                "encoder_hidden_states": encoder_outputs,
-                "encoder_attention_mask": attention_mask,
-            }
-        )[0]
-        
-        # Get next token
-        next_token = decoder_outputs[:, -1:].argmax(axis=-1)
-        decoder_input_ids = np.concatenate([decoder_input_ids, next_token], axis=-1)
-        
-        # Check if sequence is complete
-        if tokenizer.eos_token_id in decoder_input_ids[0]:
-            break
-    
-    # Decode sequence
-    output_text = tokenizer.decode(decoder_input_ids[0], skip_special_tokens=True)
-    return output_text
+prompts_list = sorted(glob.glob(os.path.join(prompts_dir, '*.pt')))
+prompts_list = ['.'.join(p.split('/')[-1].split('.')[:-1]) for p in prompts_list]
+
+for audio_prompt in prompts_list:
+    audio_path = os.path.join(prompts_dir, audio_prompt+'.pt')
+    multi_styles[audio_prompt] = torch.load(audio_path)
+    print('loaded ', audio_prompt)
+
+models = {
+    'multi': {
+        'model': multi_model,
+        'styles': multi_styles
+    },
+    'single': {
+        'model': single_model,
+        'style': single_style
+    }
+}
 
 
 @spaces.GPU
@@ -151,14 +65,16 @@ def verbalize(text):
     parts = split_to_parts(text)
     verbalized = ''
     for part in parts:
-        verbalized += generate_text(part)
+        verbalized += verbalizer.generate_text(part)
     return verbalized
 
 description = f'''
 <h1 style="text-align:center;">StyleTTS2 ukrainian demo</h1><br>
-Програма може не коректно визначати деякі наголоси і не перетворює цифри, акроніми і різні скорочення в словесну форму.
+Програма може не коректно визначати деякі наголоси.
 Якщо наголос не правильний, використовуйте символ + після наголошеного складу.
-Також дуже маленькі речення можуть крешати, тому пишіть щось більше а не одне-два слова.
+Текст який складається з одного слова може синтезуватися з певними артефактами, пишіть повноцінні речення.
+Якщо текст містить цифри чи акроніми, можна натисну кнопку "Вербалізувати" яка повинна замінити цифри і акроніми
+в словесну форму.
 
 '''
 
@@ -173,7 +89,7 @@ examples = [
 
 
 @spaces.GPU
-def synthesize(model_name, text, speed, voice_audio = None, progress=gr.Progress()):
+def synthesize(model_name, text, speed, voice_name = None, progress=gr.Progress()):
     
     if text.strip() == "":
         raise gr.Error("You must enter some text")
@@ -183,14 +99,7 @@ def synthesize(model_name, text, speed, voice_audio = None, progress=gr.Progress
     print(text)
     print("*** end ***")
     
-    diffusion_steps = 4
-    voice = None
-    if voice_audio:
-        prompt_audio_path = os.path.join(prompts_dir, voice_audio+'.wav')
-        voice = models[model_name].compute_style(prompt_audio_path)
-        diffusion_steps = 10
-
-    s_prev = torch.tensor([[0]])
+
     result_wav = []
     for t in progress.tqdm(split_to_parts(text)):
 
@@ -204,9 +113,14 @@ def synthesize(model_name, text, speed, voice_audio = None, progress=gr.Progress
             t = re.sub(r' - ', ': ', t)
             ps = ipa(stressify(t))
 
-            tokens = textclenaer(ps)
-            if tokens:
-                wav, s_prev = models[model_name](torch.LongTensor(tokens), voice=voice, speed=speed, diffusion_steps=diffusion_steps, s_prev=s_prev)
+            if ps:
+                tokens = models[model_name]['model'].tokenizer.encode(ps)
+                if voice_name:
+                    style = models[model_name]['styles'][voice_name]
+                else:
+                    style = models[model_name]['style']
+                
+                wav = models[model_name]['model'](tokens, speed=speed, s_prev=style)
                 result_wav.append(wav)
 
     

voices/Гаська Шиян.wav → filatov.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e573f57599112d2faced434d37a2c5a664828203e523ca068ec220c232f6ed8
-size 909390
+oid sha256:f181646626df52fdcf749e93a311686ffb2eaeae8112be0005a8d6efa7dc5cc9
+size 2204

requirements.txt

@@ -10,7 +10,7 @@ torch==2.2.0
 transformers
 git+https://github.com/patriotyk/ukrainian-word-stress.git
 git+https://github.com/patriotyk/ipa-uk.git
-git+https://github.com/patriotyk/styletts2-inference@a42888a33bf8231831cc449be2cdd20102314fd0
+git+https://github.com/patriotyk/styletts2-inference
 spaces
 numpy<2
 huggingface_hub

text_utils.py

@@ -1,30 +0,0 @@
-
-_pad = "$"
-_punctuation = '-´;:,.!?¡¿—…"«»“” ()†/='
-_letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'
-_letters_ipa = "éýíó'̯'͡ɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛɦɧħɥʜɨɪʝɭɬɫɮʟɱɯɰŋɳɲɴøɵɸθœɶʘɹɺɾɻʀʁɽʂʃʈʧʉʊʋⱱʌɣɤʍχʎʏʑʐʒʔʡʕʢǀǁǂǃˈˌːˑʼʴʰʱʲ'̩'ᵻ"
-
-
-# Export all symbols:
-symbols = [_pad] + list(_punctuation) + list(_letters) + list(_letters_ipa)
-
-letters = list(_letters) + list(_letters_ipa)
-
-dicts = {}
-for i in range(len((symbols))):
-    dicts[symbols[i]] = i
-
-
-
-class TextCleaner:
-    def __init__(self, dummy=None):
-        self.word_index_dictionary = dicts
-        print(len(dicts))
-    def __call__(self, text):
-        indexes = []
-        for char in text:
-            try:
-                indexes.append(self.word_index_dictionary[char])
-            except KeyError:
-                print(text)
-        return indexes

verbalizer.py

@@ -0,0 +1,107 @@
+import onnxruntime
+import numpy as np
+from transformers import AutoTokenizer
+from huggingface_hub import hf_hub_download
+
+verbalizer_model_name = "skypro1111/mbart-large-50-verbalization"
+
+def cache_model_from_hf(repo_id, model_dir="./"):
+    """Download ONNX models from HuggingFace Hub."""
+    files = ["onnx/encoder_model.onnx", "onnx/decoder_model.onnx", "onnx/decoder_model.onnx_data"]
+    
+    for file in files:
+        hf_hub_download(
+            repo_id=repo_id,
+            filename=file,
+            local_dir=model_dir,
+        )
+
+
+
+class Verbalizer():
+    def __init__(self, device):
+        cache_model_from_hf(verbalizer_model_name)
+
+        print("Loading tokenizer...")
+        self.tokenizer = AutoTokenizer.from_pretrained(verbalizer_model_name)
+        self.tokenizer.src_lang = "uk_UA"
+        self.tokenizer.tgt_lang = "uk_UA"
+
+        print("Creating ONNX sessions...")
+        self.encoder_session = self.create_onnx_session("onnx/encoder_model.onnx", device=='cuda')
+        self.decoder_session = self.create_onnx_session("onnx/decoder_model.onnx", device=='cuda')
+
+    
+    def create_onnx_session(self, model_path, use_gpu=True):
+        """Create an ONNX inference session."""
+        session_options = onnxruntime.SessionOptions()
+        session_options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
+        session_options.enable_mem_pattern = True
+        session_options.enable_mem_reuse = True
+        session_options.intra_op_num_threads = 8
+        #session_options.log_severity_level = 1
+        
+        cuda_provider_options = {
+            'device_id': 0,
+            'arena_extend_strategy': 'kSameAsRequested',
+            'gpu_mem_limit': 0,  # 0 means no limit
+            'cudnn_conv_algo_search': 'DEFAULT',
+            'do_copy_in_default_stream': True,
+        }
+        
+        if use_gpu and 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
+            providers = [('CUDAExecutionProvider', cuda_provider_options)]
+        else:
+            providers = ['CPUExecutionProvider']
+        
+        session = onnxruntime.InferenceSession(
+            model_path,
+            providers=providers,
+            sess_options=session_options
+        )
+        
+        return session
+    
+    
+    def generate_text(self, text):
+        """Generate text for a single input."""
+        # Prepare input
+        inputs = self.tokenizer(text, return_tensors="np", padding=True, truncation=True, max_length=512)
+        input_ids = inputs["input_ids"].astype(np.int64)
+        attention_mask = inputs["attention_mask"].astype(np.int64)
+        
+        # Run encoder
+        encoder_outputs = self.encoder_session.run(
+            output_names=["last_hidden_state"],
+            input_feed={
+                "input_ids": input_ids,
+                "attention_mask": attention_mask,
+            }
+        )[0]
+        
+        # Initialize decoder input
+        decoder_input_ids = np.array([[self.tokenizer.pad_token_id]], dtype=np.int64)
+        
+        # Generate sequence
+        for _ in range(512):
+            # Run decoder
+            decoder_outputs = self.decoder_session.run(
+                output_names=["logits"],
+                input_feed={
+                    "input_ids": decoder_input_ids,
+                    "encoder_hidden_states": encoder_outputs,
+                    "encoder_attention_mask": attention_mask,
+                }
+            )[0]
+            
+            # Get next token
+            next_token = decoder_outputs[:, -1:].argmax(axis=-1)
+            decoder_input_ids = np.concatenate([decoder_input_ids, next_token], axis=-1)
+            
+            # Check if sequence is complete
+            if self.tokenizer.eos_token_id in decoder_input_ids[0]:
+                break
+        
+        # Decode sequence
+        output_text = self.tokenizer.decode(decoder_input_ids[0], skip_special_tokens=True)
+        return output_text

voices/{Анастасія Павленко.wav → Інна Гелевера.pt}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22d2bec547900bf22f46fdaa82613c917876d885c8d295afa0dcd954d5f30530
-size 933388
+oid sha256:5491e3db2777dcf6a9d3512559dbb09c5a77908a7227c026f1a519ee3ef7126a
+size 2239

voices/{Вʼячеслав Дудко.wav → Анастасія Павленко.pt}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4f31069a3f3c40e8a3fbba538298fc29b52b929981ede2f25440713571aca047
-size 878188
+oid sha256:f350b92baf668c303987fb7d9981422a1999956a9192518099f2f8382dc49aae
+size 2204

voices/{Влада Муравець.wav → Артем Окороков.pt}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:97e54da36c0be7127baa0a6a7ea6690f47037f0d094ef4e20ff786abfc8ef7cc
-size 916590
+oid sha256:da04c5c100381147c7b42e849ea9da6136183d0ed267dbed4cc1c44dfde11fff
+size 2239

voices/Вʼячеслав Дудко.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4802234aa77796e78f6622f9dfda745bfeb53cff62f81fcefa45cd07b268a61
+size 2204

voices/Вероніка Дорош.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5626b54e84a37f1c7e19605cdc90f010bbc8915ac3435093795405c7e1a9e80
+size 2239

voices/Влада Муравець.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba5509c7432d4fed194e9fc62b0de88e5f8a3fba59d1e104e4f1943e3e59f6bd
+size 2204

voices/Вікторія Левченко.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5161f5ca699944f5d9d29e748f4d341b7fce1857ae896bf999d7cee2c4bc6bf
+size 2239

voices/Гаська Шиян.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:693e018423188f0ba9ccd199bedfb9852224d27f190d180a7013e0e404ea808e
+size 2204

voices/Денис Денисенко.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9d7511fc875ef91182de360765ff87db975fcbaae28e33e115825e44c7622dc
+size 2239

voices/Катерина Потапенко.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0932a415d647cd01767be9147e6fd801f8d1af01c4a77845583813963859605
+size 2204

voices/Катерина Потапенко.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8e7bca8d0b0dc6cb95e7456013bb463058fd37ddbc9cd5e10b0980c6a021ea4a
-size 945388

voices/Кирило Татарченко.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5417c242cbb38c9833382c68bf7a0320de49cb4fa2bd31b02463042162ed2413
+size 2239

voices/Людмила Чиркова.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0e0e521c20a876aa1d4de5d6c23a51e73478ebfb55d4b33129b28ad9189d97a
+size 2239

voices/Марина Панас.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4d82990dfc3548e09410f6d7108bda88b70116a42852cc97e2013583fefc29e
+size 2204

voices/Марина Панас.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:720d617b7b377e15ac710171670eae69437276ffacdc8339113dfb2717233a46
-size 918988

voices/Марися Нікітюк.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8e7d4de0bd24d018f3678464f93e0b212758daf0dbcc0b3bccfd00133c13072
+size 2204

voices/Марися Нікітюк.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:acd17f7cb865d102d7a811f98e45a7baf6f1665c222fd84045932612764f2eee
-size 926188

voices/Марта Мольфар.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff4596e0c1f79f25cbb4c413a2f709bcffd95108bd9c4f3f9c936ad90df8769c
+size 2204

voices/Марта Мольфар.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:52adad6d28328ab05a602dfcba768defcc8e7aa34d00c3e85416a4d6151b2535
-size 748588

voices/Марічка Штирбулова.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4ead4f661d13313f51b1e1a264674fb8670c2ba193aa22e391266939577b23a
+size 2204

voices/Марічка Штирбулова.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d6ef6573f3c777d2f79d4afc1e8936da2c02ce47559e34962f97efc9242ba39b
-size 1600588

voices/Маслінка.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7e513b693af42afe49efb170ffc4e3d07bfb609ccb8b4b7ea3f9932be57dad5f
-size 942988

voices/Матвій Ніколаєв.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41fe7d4d09a91365a7df02387baffdd027496574af5c9b74e13b5b1783383460
+size 2204

voices/Матвій Ніколаєв.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0d699c90a21afdd4014c88c25bc283f9c3221e453cdb1c79ad358e69429e4ee1
-size 885388

voices/Михайло Тишин.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4d63727d1aa6cfda4329e6e3d44eabb52759554a92801c028ca38d33e9d55fc
+size 2204

voices/Михайло Тишин.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:074124a743764ba7de24a0d1d3c320f2871b4324d74ba0073a7691cee6dee905
-size 897388

voices/Наталія Калюжна.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6dda18ff38e4858e7f562b4975b48572d3f7f89b5ec367d2a9b04b90841d79ba
-size 1041388

voices/Олег Лепенець.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f86bb5aa40ec6d5c79fd22ced1bbe8da0b8c11fe89bbe5ebfd745ef90ac715a6
-size 880588

voices/Олександр Ролдугін.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3a47c7682931a5feb2e1fa76f1eac3c7f4d89a70bde20fb4d778c04a4a0a06a
+size 2239

voices/Олена Шверк.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b47e1f21ff2ff3452a585d575713199f51652a7986e5282d78a8b743387e3bd
+size 2239

voices/Павло Буковський.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9add8f56848e868ff770b75015102a426dbfd5782b6a6dc7dfd94a67220414aa
+size 2239

voices/Петро Філяк.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02b9eae3aa5a6e25e6876b57eae80a566a9cef4243caa5a9fece0544970eb3ec
+size 2239

voices/Поліна Еккерт(хлопчик).pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cbc715e0fbca82b6e086718fbb8321896347b7b84caea6e0a9046f3f456f7736
+size 2239

voices/Поліна Еккерт.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76a55eb586d9c5dbf6616a367eea5a03ae2295649187d61a63d264a28ab0717f
+size 2239

voices/Роман Куліш.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e2d70d0e0efdd3ad73b07e66db251ae13de18440fffb03c049cc6433d541b3
+size 2239

voices/Слава Красовська.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:601bca5dfe1145e009ab43f0057e8daebcee8e57897c9b049d1bdf20f4fa3a5a
+size 2204

voices/Слава Красовська.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5648b8705b53f226c25474f48264ad88ca3b156cac9225ba8096b175b6b3a9ff
-size 947788

voices/Тарас Василюк.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ca59143b9adba1c563121ffac008b542f12918cc1d953a02b631cbf3f51714b
+size 2239

voices/Тетяна Гончарова.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1190cfd8ac54396846d79df1d7eca80e962e84a179f310365721d5b2f041d323
+size 2239

voices/Тетяна Лукинюк.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0e241bf3f226ef3fae593084d6b1515517698e57625891e2ca69a99224b984b
+size 2239

voices/Юрій Вихованець.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:595a1257c0cec43e4c8f0e11245e074dd260d31885f4332687dd42b34e2c2ca8
+size 2239

voices/Юрій Кудрявець.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c53c42488b474e33122cc3f61f994f64cbefdff75c552655e94af6708deb6e7
+size 2204

voices/Юрій Кудрявець.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e7e8ec2de5c6c2dba550d9814a93796fb081d55a2eedbad2bcb864ba96b5c869
-size 954988

voices/Яніна Соколова.wav

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:82387f2d814df32a9bf50ebaab3616bdd5d74e57b0466339573e94ff2f3144a3
-size 906988